ASUSTeK COMPUTER INC. ROG Flow X16 GV601VV_GV601VV
Geekbench AI Score
2904
Single Precision Score
2889
Half Precision Score
1806
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Foxyz |
| Upload Date | December 05 2024 06:29 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% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (Q)
|
100% |
1118
207.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1388
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10995
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11513
13.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5503
6.45 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.8 IPS |
|
|
Object Detection (HP)
|
98% |
1297
103.2 IPS |
|
|
Object Detection (Q)
|
86% |
1209
97.2 IPS |
|
|
Face Detection (SP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3419
40.6 IPS |
|
|
Face Detection (Q)
|
97% |
2079
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5662
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6323
48.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3905
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23486
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30662
39.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14918
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3113
114.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4181
154.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1356
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
331
441.8 IPS |
|
|
Text Classification (Q)
|
97% |
453
606.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
70% |
482
9.03 IPS |
