ASUSTeK COMPUTER INC. ROG Zephyrus M15 GU502LW_GU502LW
Geekbench ML Score
2155
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 20 2024 06:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus M15 GU502LW_GU502LW |
| Motherboard | ASUSTeK COMPUTER INC. GU502LW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 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% |
1350
252.7 IPS |
|
|
Image Classification (F16)
|
100% |
1289
241.2 IPS |
|
|
Image Classification (I8)
|
97% |
1735
324.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
922
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
881
14.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1528
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3281
3.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
4391
5.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
7782
9.42 IPS |
|
|
Object Detection (F32)
|
100% |
1140
85.1 IPS |
|
|
Object Detection (F16)
|
100% |
1049
78.3 IPS |
|
|
Object Detection (I8)
|
60% |
1174
87.6 IPS |
|
|
Face Detection (F32)
|
100% |
1554
18.5 IPS |
|
|
Face Detection (F16)
|
100% |
1529
18.2 IPS |
|
|
Face Detection (I8)
|
87% |
2689
32.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3691
28.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4453
34.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
6980
54.1 IPS |
|
|
Style Transfer (F32)
|
100% |
7996
10.5 IPS |
|
|
Style Transfer (F16)
|
100% |
9305
12.2 IPS |
|
|
Style Transfer (I8)
|
85% |
9823
12.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2045
73.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1975
70.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2133
76.2 IPS |
|
|
Text Classification (F32)
|
100% |
1246
1.79 KIPS |
|
|
Text Classification (F16)
|
100% |
1258
1.81 KIPS |
|
|
Text Classification (I8)
|
94% |
866
1.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1166
21.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1649
30.3 IPS |
