ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
2832
Single Precision Score
2840
Half Precision Score
1766
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | December 05 2024 06:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1230
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
1345
250.2 IPS |
|
|
Image Classification (Q)
|
100% |
1073
199.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1344
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10564
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11345
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
5318
6.23 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.9 IPS |
|
|
Object Detection (HP)
|
98% |
1255
99.8 IPS |
|
|
Object Detection (Q)
|
86% |
1191
95.7 IPS |
|
|
Face Detection (SP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (Q)
|
97% |
2077
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5597
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6161
47.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3847
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23648
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30569
39.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14842
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3144
116.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4209
155.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1329
49.2 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
332
443.6 IPS |
|
|
Text Classification (Q)
|
97% |
442
591.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
70% |
465
8.73 IPS |
