ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
3371
Single Precision Score
3179
Half Precision Score
8099
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | December 06 2024 09:12 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 | 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% |
2055
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
2096
389.8 IPS |
|
|
Image Classification (Q)
|
100% |
4845
900.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4848
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4392
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4154
4.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
15023
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
1609
127.7 IPS |
|
|
Object Detection (Q)
|
88% |
5049
404.7 IPS |
|
|
Face Detection (SP)
|
100% |
5426
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
5434
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
9155
108.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5202
40.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
4121
31.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
12439
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11190
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13075
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46472
59.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2633
97.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9179
339.9 IPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1714
2.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3408
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3063
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2975
51.2 IPS |
|
|
Machine Translation (Q)
|
85% |
4120
72.1 IPS |
