ASUSTeK COMPUTER INC. ROG Flow X13 GV302XU_GV302XU
Geekbench AI Score
3107
Single Precision Score
1469
Half Precision Score
7244
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 09:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow X13 GV302XU_GV302XU |
| Motherboard | ASUSTeK COMPUTER INC. GV302XU |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2540
472.4 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (Q)
|
99% |
7528
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9779
159.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6035
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4704
5.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
23141
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
2942
233.3 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
7360
591.5 IPS |
|
|
Face Detection (SP)
|
100% |
4393
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
1467
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
10256
122.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7231
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2384
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7423
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13692
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9393
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18493
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5082
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
1594
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
701
935.3 IPS |
|
|
Text Classification (Q)
|
97% |
1611
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2756
55.4 IPS |
