ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
2855
Single Precision Score
2854
Half Precision Score
1745
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | August 30 2025 10:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV |
| Motherboard | ASUSTeK COMPUTER INC. GV601VV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
1369
254.7 IPS |
|
|
Image Classification (Q)
|
100% |
1086
202.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1392
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11169
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11284
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
5520
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.7 IPS |
|
|
Object Detection (HP)
|
98% |
1236
98.4 IPS |
|
|
Object Detection (Q)
|
86% |
1030
82.8 IPS |
|
|
Face Detection (SP)
|
100% |
2907
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (Q)
|
97% |
2092
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5030
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6259
48.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3833
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23218
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29550
38.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14429
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3227
119.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4459
164.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1365
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
334
445.2 IPS |
|
|
Text Classification (Q)
|
97% |
420
563.2 IPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
70% |
461
8.65 IPS |
