ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
3462
Single Precision Score
1340
Half Precision Score
4989
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | December 05 2024 06:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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 | Performance |
| 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% |
2815
523.5 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.4 IPS |
|
|
Image Classification (Q)
|
99% |
5255
980.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2582
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6196
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3889
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
19889
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
2548
202.1 IPS |
|
|
Object Detection (HP)
|
100% |
582
46.1 IPS |
|
|
Object Detection (Q)
|
86% |
4667
375.1 IPS |
|
|
Face Detection (SP)
|
100% |
6232
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
7732
92.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7715
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1893
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12328
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13870
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9617
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19938
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2509
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3539
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
708
944.5 IPS |
|
|
Text Classification (Q)
|
97% |
522
699.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2162
43.5 IPS |
