ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
3963
Single Precision Score
3950
Half Precision Score
9470
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | December 05 2024 06:48 PM |
| Views | 2 |
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 | 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% |
1959
364.4 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.4 IPS |
|
|
Image Classification (Q)
|
100% |
5254
977.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3042
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5874
95.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5207
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
5187
6.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
18578
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.9 IPS |
|
|
Object Detection (HP)
|
100% |
1617
128.3 IPS |
|
|
Object Detection (Q)
|
88% |
5312
425.8 IPS |
|
|
Face Detection (SP)
|
100% |
5774
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
5900
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
14593
173.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6460
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5640
43.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
16278
126.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15166
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15260
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
52042
67.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3028
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3082
113.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10417
385.8 IPS |
|
|
Text Classification (SP)
|
100% |
2638
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (Q)
|
92% |
4450
5.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3357
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3325
57.3 IPS |
