ASUSTeK COMPUTER INC. ROG Zephyrus M15 GU502LW_GU502LW
Geekbench AI Score
8765
Single Precision Score
14568
Half Precision Score
6460
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MadSam |
| Upload Date | June 23 2025 12:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus M15 GU502LW_GU502LW |
| Motherboard | ASUSTeK COMPUTER INC. GU502LW |
| Power Plan | QuickCpuScheme |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3627
674.6 IPS |
|
|
Image Classification (HP)
|
100% |
6200
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
2929
546.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5946
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7564
122.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4945
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44035
51.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
126174
147.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
38146
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
4383
347.7 IPS |
|
|
Object Detection (HP)
|
100% |
7390
586.2 IPS |
|
|
Object Detection (Q)
|
84% |
3476
280.4 IPS |
|
|
Face Detection (SP)
|
100% |
10570
125.6 IPS |
|
|
Face Detection (HP)
|
100% |
16176
192.2 IPS |
|
|
Face Detection (Q)
|
97% |
8892
106.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22552
173.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
43778
337.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16714
133.8 IPS |
|
|
Style Transfer (SP)
|
100% |
73448
94.4 IPS |
|
|
Style Transfer (HP)
|
100% |
171172
220.0 IPS |
|
|
Style Transfer (Q)
|
98% |
60055
77.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14364
530.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23720
875.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9124
337.9 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
1869
2.49 KIPS |
|
|
Text Classification (Q)
|
97% |
844
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1829
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (Q)
|
70% |
960
18.0 IPS |
