ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G834JYR_G834JYR
Geekbench ML Score
15130
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 02:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G834JYR_G834JYR |
| Motherboard | ASUSTeK COMPUTER INC. G834JYR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7917
1.48 KIPS |
|
|
Image Classification (F16)
|
100% |
8274
1.55 KIPS |
|
|
Image Classification (I8)
|
100% |
6886
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9415
157.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
9061
151.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
8570
143.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
124539
150.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
131554
159.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
108350
131.2 IPS |
|
|
Object Detection (F32)
|
100% |
4564
340.8 IPS |
|
|
Object Detection (F16)
|
100% |
5667
423.1 IPS |
|
|
Object Detection (I8)
|
56% |
4244
316.8 IPS |
|
|
Face Detection (F32)
|
100% |
28031
333.3 IPS |
|
|
Face Detection (F16)
|
100% |
28568
339.7 IPS |
|
|
Face Detection (I8)
|
89% |
23986
285.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
50712
393.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
32147
249.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
25267
195.9 IPS |
|
|
Style Transfer (F32)
|
100% |
248968
327.5 IPS |
|
|
Style Transfer (F16)
|
100% |
176260
231.9 IPS |
|
|
Style Transfer (I8)
|
98% |
155614
204.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24833
886.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22884
817.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16945
605.2 IPS |
|
|
Text Classification (F32)
|
100% |
1671
2.40 KIPS |
|
|
Text Classification (F16)
|
100% |
2435
3.50 KIPS |
|
|
Text Classification (I8)
|
98% |
947
1.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
3179
58.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3196
58.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1899
34.9 IPS |
