ASUS System Product Name
Geekbench AI Score
2757
Single Precision Score
1266
Half Precision Score
4273
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phoexander |
| Upload Date | November 29 2025 09:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560M-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
96% |
3304
617.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
3970
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4053
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3710
4.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
9761
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
2008
159.3 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
58% |
2174
237.5 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
1242
14.8 IPS |
|
|
Face Detection (Q)
|
96% |
6500
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5907
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1797
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8453
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11026
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8608
11.1 IPS |
|
|
Style Transfer (Q)
|
87% |
13910
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3696
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1192
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2168
41.9 IPS |
