ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
2291
Single Precision Score
2368
Half Precision Score
1420
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | December 06 2024 09:06 PM |
| Views | 2 |
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 | Gebalanceerd |
| 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% |
1012
188.2 IPS |
|
|
Image Classification (HP)
|
100% |
1080
200.8 IPS |
|
|
Image Classification (Q)
|
100% |
837
155.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1271
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9577
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10357
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
4929
5.77 IPS |
|
|
Object Detection (SP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (HP)
|
98% |
935
74.4 IPS |
|
|
Object Detection (Q)
|
89% |
756
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
2192
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
1498
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4850
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5413
41.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
3273
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20923
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27125
34.9 IPS |
|
|
Style Transfer (Q)
|
98% |
13646
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2813
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3777
139.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1205
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
562
750.0 IPS |
|
|
Text Classification (HP)
|
100% |
236
315.5 IPS |
|
|
Text Classification (Q)
|
97% |
306
409.5 IPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
60% |
341
7.61 IPS |
