ASUS System Product Name
Geekbench AI Score
4624
Single Precision Score
4703
Half Precision Score
6792
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phoexander |
| Upload Date | November 29 2025 09:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10700KF CPU @ 3.80GHz |
| 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% |
2943
547.3 IPS |
|
|
Image Classification (HP)
|
100% |
3015
560.6 IPS |
|
|
Image Classification (Q)
|
100% |
4851
902.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3388
54.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3507
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5505
89.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6241
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6350
7.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
12575
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2913
231.1 IPS |
|
|
Object Detection (HP)
|
100% |
2889
229.2 IPS |
|
|
Object Detection (Q)
|
87% |
4806
385.5 IPS |
|
|
Face Detection (SP)
|
100% |
5164
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
5152
61.2 IPS |
|
|
Face Detection (Q)
|
97% |
13564
161.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7571
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7704
59.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
13142
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18845
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18330
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32812
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3232
119.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3277
121.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6506
241.0 IPS |
|
|
Text Classification (SP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (Q)
|
91% |
892
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3814
65.7 IPS |
