ASUSTeK COMPUTER INC. System Product Name
Geekbench AI Score
36812
Single Precision Score
50300
Half Precision Score
29873
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon AI PRO R9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680M-ACE SE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18493
3.44 KIPS |
|
|
Image Classification (HP)
|
100% |
19611
3.65 KIPS |
|
|
Image Classification (Q)
|
99% |
15845
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24601
398.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
30141
488.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22368
363.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
214260
250.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
642709
749.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
193463
226.6 IPS |
|
|
Object Detection (SP)
|
100% |
17187
1.36 KIPS |
|
|
Object Detection (HP)
|
99% |
21538
1.71 KIPS |
|
|
Object Detection (Q)
|
87% |
16332
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
51702
614.3 IPS |
|
|
Face Detection (HP)
|
100% |
61379
729.3 IPS |
|
|
Face Detection (Q)
|
97% |
43824
522.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
84982
654.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
131836
1.02 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71451
572.6 IPS |
|
|
Style Transfer (SP)
|
100% |
382046
491.1 IPS |
|
|
Style Transfer (HP)
|
100% |
708121
910.3 IPS |
|
|
Style Transfer (Q)
|
98% |
349886
451.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51733
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87653
3.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42726
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
5100
6.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2981
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6160
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6172
106.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3623
67.9 IPS |
