ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
2755
Single Precision Score
2738
Half Precision Score
1712
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | August 30 2025 10:25 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% |
1230
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (Q)
|
100% |
957
178.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1259
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10478
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10546
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5288
6.19 IPS |
|
|
Object Detection (SP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (HP)
|
98% |
1254
99.7 IPS |
|
|
Object Detection (Q)
|
86% |
1169
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
2582
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (Q)
|
97% |
1999
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5566
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5899
45.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3774
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22733
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28393
36.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14112
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3262
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1328
49.2 IPS |
|
|
Text Classification (SP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
350
466.9 IPS |
|
|
Text Classification (Q)
|
97% |
448
600.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
70% |
460
8.64 IPS |
