ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
4392
Single Precision Score
6043
Half Precision Score
8686
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | August 30 2025 10:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2820
524.4 IPS |
|
|
Image Classification (HP)
|
100% |
4020
747.6 IPS |
|
|
Image Classification (Q)
|
99% |
4839
902.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4256
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6955
112.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7841
127.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9595
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
6970
8.13 IPS |
|
|
Pose Estimation (Q)
|
97% |
28797
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
3680
291.9 IPS |
|
|
Object Detection (Q)
|
90% |
3620
289.4 IPS |
|
|
Face Detection (SP)
|
100% |
7186
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
11103
131.9 IPS |
|
|
Face Detection (Q)
|
100% |
14605
173.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9579
73.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
14620
113.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
18549
144.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22556
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28863
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
59682
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6237
230.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11901
440.7 IPS |
|
|
Text Classification (SP)
|
71% |
1061
1.54 KIPS |
|
|
Text Classification (HP)
|
71% |
1342
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
1352
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2311
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2376
41.1 IPS |
