ASUSTeK COMPUTER INC. ROG Zephyrus M15 GU502LV_GU502LV
Geekbench AI Score
2035
Single Precision Score
1014
Half Precision Score
3240
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 05:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus M15 GU502LV_GU502LV |
| Motherboard | ASUSTeK COMPUTER INC. GU502LV |
| Power Plan | Turbo |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.7 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (Q)
|
96% |
2688
502.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
3476
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3128
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2522
2.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
6103
7.22 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (Q)
|
58% |
1897
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
4658
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4032
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1525
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6035
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7137
9.17 IPS |
|
|
Style Transfer (HP)
|
100% |
6504
8.36 IPS |
|
|
Style Transfer (Q)
|
87% |
8746
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2728
101.1 IPS |
|
|
Text Classification (SP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
679
906.7 IPS |
|
|
Text Classification (Q)
|
97% |
995
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (Q)
|
68% |
1771
34.2 IPS |
