ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR
Geekbench ML Score
4345
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 04:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR |
| Motherboard | ASUSTeK COMPUTER INC. G634JZR |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2350
439.7 IPS |
|
|
Image Classification (F16)
|
100% |
2318
433.7 IPS |
|
|
Image Classification (I8)
|
99% |
3831
716.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2046
34.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2073
34.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2826
47.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10197
12.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
10158
12.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
30619
37.1 IPS |
|
|
Object Detection (F32)
|
100% |
2136
159.5 IPS |
|
|
Object Detection (F16)
|
100% |
2167
161.8 IPS |
|
|
Object Detection (I8)
|
62% |
1893
141.3 IPS |
|
|
Face Detection (F32)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (F16)
|
100% |
4614
54.9 IPS |
|
|
Face Detection (I8)
|
89% |
4590
54.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9518
73.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9537
74.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
15140
117.4 IPS |
|
|
Style Transfer (F32)
|
100% |
22710
29.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22513
29.6 IPS |
|
|
Style Transfer (I8)
|
98% |
25668
33.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4201
150.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4271
152.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5218
186.3 IPS |
|
|
Text Classification (F32)
|
100% |
1481
2.13 KIPS |
|
|
Text Classification (F16)
|
100% |
1485
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
426
612.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2091
38.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2088
38.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2973
54.7 IPS |
