ASUS System Product Name
Geekbench AI Score
3742
Single Precision Score
3872
Half Precision Score
9121
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kszycho |
| Upload Date | December 08 2025 04:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660M-A WIFI D4 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.8 IPS |
|
|
Image Classification (Q)
|
100% |
6058
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2993
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2644
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5555
90.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4081
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3935
4.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
15321
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (Q)
|
88% |
6236
499.9 IPS |
|
|
Face Detection (SP)
|
100% |
5076
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
4951
58.8 IPS |
|
|
Face Detection (Q)
|
100% |
13903
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5507
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6208
47.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
15091
117.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12304
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13972
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
46396
59.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3012
111.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3119
115.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9568
354.3 IPS |
|
|
Text Classification (SP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3995
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3331
57.4 IPS |
