ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
4251
Single Precision Score
5659
Half Precision Score
8472
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | December 05 2024 06:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2616
486.5 IPS |
|
|
Image Classification (HP)
|
100% |
3769
701.0 IPS |
|
|
Image Classification (Q)
|
99% |
4860
906.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3963
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6173
100.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7884
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9613
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7018
8.19 IPS |
|
|
Pose Estimation (Q)
|
97% |
28843
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
100% |
3482
276.2 IPS |
|
|
Object Detection (Q)
|
90% |
5315
425.0 IPS |
|
|
Face Detection (SP)
|
100% |
7039
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
10454
124.2 IPS |
|
|
Face Detection (Q)
|
100% |
14014
166.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8879
68.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
14156
109.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
17795
138.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24569
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34646
44.5 IPS |
|
|
Style Transfer (Q)
|
98% |
63453
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10776
399.1 IPS |
|
|
Text Classification (SP)
|
71% |
1029
1.49 KIPS |
|
|
Text Classification (HP)
|
71% |
1197
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
1190
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1605
27.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1599
27.5 IPS |
