ASUSTeK COMPUTER INC. System Product Name
Geekbench AI Score
4803
Single Precision Score
4902
Half Precision Score
10536
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | yurnotsoeviltwin |
| Upload Date | November 07 2025 11:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680-ACE IPMI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3839
713.9 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.4 IPS |
|
|
Image Classification (Q)
|
100% |
8509
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4908
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4928
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4260
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3672
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3776
4.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
27438
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (HP)
|
100% |
3698
293.3 IPS |
|
|
Object Detection (Q)
|
88% |
9225
739.5 IPS |
|
|
Face Detection (SP)
|
100% |
10122
120.3 IPS |
|
|
Face Detection (HP)
|
100% |
10128
120.3 IPS |
|
|
Face Detection (Q)
|
100% |
20751
246.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9456
72.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9455
72.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
22963
178.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22216
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22315
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32917
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2136
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2203
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6736
249.5 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
3722
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4673
80.5 IPS |
