ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G834JYR_G834JYR
Geekbench ML Score
4076
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 02:39 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2154
403.1 IPS |
|
|
Image Classification (F16)
|
100% |
2223
415.9 IPS |
|
|
Image Classification (I8)
|
99% |
3613
676.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1976
33.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1992
33.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2818
47.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9385
11.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9663
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
28698
34.8 IPS |
|
|
Object Detection (F32)
|
100% |
2014
150.3 IPS |
|
|
Object Detection (F16)
|
100% |
1981
147.9 IPS |
|
|
Object Detection (I8)
|
62% |
1754
130.9 IPS |
|
|
Face Detection (F32)
|
100% |
4172
49.6 IPS |
|
|
Face Detection (F16)
|
100% |
4221
50.2 IPS |
|
|
Face Detection (I8)
|
89% |
4280
50.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8838
68.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9165
71.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
14363
111.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20237
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
19416
25.5 IPS |
|
|
Style Transfer (I8)
|
98% |
24391
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4040
144.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4049
144.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4945
176.6 IPS |
|
|
Text Classification (F32)
|
100% |
1519
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1502
2.16 KIPS |
|
|
Text Classification (I8)
|
98% |
394
566.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1892
34.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1863
34.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2697
49.6 IPS |
