ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
1383
Single Precision Score
558
Half Precision Score
2208
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | December 05 2024 06:17 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 | 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% |
902
167.8 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
99% |
2763
515.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
1096
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1993
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1374
1.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
6942
8.14 IPS |
|
|
Object Detection (SP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (HP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (Q)
|
86% |
2032
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
676
8.03 IPS |
|
|
Face Detection (Q)
|
97% |
3623
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2715
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
787
6.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
5539
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5092
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3395
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
9299
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
942
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1673
61.9 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
302
403.2 IPS |
|
|
Text Classification (Q)
|
97% |
210
280.8 IPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
65% |
984
19.8 IPS |
