ASUSTeK COMPUTER INC. ROG Flow X13 GV302XU_GV302XU
Geekbench AI Score
13125
Single Precision Score
24847
Half Precision Score
10358
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 09:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| 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% |
5236
973.7 IPS |
|
|
Image Classification (HP)
|
99% |
10670
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
4949
923.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10231
165.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15421
250.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9061
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
49258
57.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
172037
200.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
43319
50.8 IPS |
|
|
Object Detection (SP)
|
100% |
6506
516.1 IPS |
|
|
Object Detection (HP)
|
100% |
12999
1.03 KIPS |
|
|
Object Detection (Q)
|
84% |
5863
472.9 IPS |
|
|
Face Detection (SP)
|
100% |
15230
181.0 IPS |
|
|
Face Detection (HP)
|
100% |
28294
336.2 IPS |
|
|
Face Detection (Q)
|
97% |
13316
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27646
213.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
64138
494.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23690
189.5 IPS |
|
|
Style Transfer (SP)
|
100% |
92849
119.4 IPS |
|
|
Style Transfer (HP)
|
100% |
265253
341.0 IPS |
|
|
Style Transfer (Q)
|
98% |
82489
106.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21269
785.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37738
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15459
572.4 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3259
4.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1763
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4118
70.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1760
33.0 IPS |
