Gen12i3 Dedicated Computing OEM-A9101-00
Geekbench AI Score
2582
Single Precision Score
2668
Half Precision Score
6348
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | February 26 2025 12:15 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i3-12100E |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A9101-00 |
| Motherboard | BCM Advanced Research MX610HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100E |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1422
264.5 IPS |
|
|
Image Classification (HP)
|
100% |
1686
313.5 IPS |
|
|
Image Classification (Q)
|
100% |
4002
744.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3788
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2755
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2805
3.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
10636
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.4 IPS |
|
|
Object Detection (HP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (Q)
|
88% |
3618
290.1 IPS |
|
|
Face Detection (SP)
|
100% |
4391
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
9189
109.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3968
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4216
32.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10734
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8454
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7927
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28695
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6388
236.6 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2102
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
3972
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2540
43.7 IPS |
