ASUS System Product Name
Geekbench AI Score
4248
Single Precision Score
4250
Half Precision Score
9740
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | January 11 2026 03:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i3-12100F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B660-G GAMING WIFI |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2555
475.2 IPS |
|
|
Image Classification (HP)
|
100% |
2555
475.2 IPS |
|
|
Image Classification (Q)
|
100% |
5928
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3075
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3100
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5992
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4694
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4691
5.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
17091
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (Q)
|
88% |
6142
492.4 IPS |
|
|
Face Detection (SP)
|
100% |
6891
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
13813
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6307
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6363
49.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
16063
124.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13809
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13798
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47141
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2948
108.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9644
357.1 IPS |
|
|
Text Classification (SP)
|
100% |
2701
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
4741
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4313
74.3 IPS |
