ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
3888
Single Precision Score
3846
Half Precision Score
8457
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | August 30 2025 10:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900H |
| 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% |
2701
502.3 IPS |
|
|
Image Classification (HP)
|
100% |
2417
449.4 IPS |
|
|
Image Classification (Q)
|
100% |
5515
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5584
90.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4319
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4612
5.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
20098
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
2695
213.7 IPS |
|
|
Object Detection (HP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (Q)
|
88% |
7326
587.2 IPS |
|
|
Face Detection (SP)
|
100% |
6973
82.9 IPS |
|
|
Face Detection (HP)
|
100% |
7249
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
9130
108.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4654
35.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11238
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13630
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15225
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39089
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2822
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2868
105.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8987
332.8 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
3735
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3267
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3066
52.8 IPS |
