Gen12i3 Dedicated Computing OEM-A9101-00
Geekbench AI Score
2697
Single Precision Score
2697
Half Precision Score
6405
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | February 26 2025 12:01 AM |
| Views | 10 |
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% |
1545
287.3 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.4 IPS |
|
|
Image Classification (Q)
|
100% |
4120
766.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3766
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2764
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2806
3.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
10239
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
1636
129.8 IPS |
|
|
Object Detection (Q)
|
88% |
4165
333.9 IPS |
|
|
Face Detection (SP)
|
100% |
4372
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
9159
108.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4230
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4148
32.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10524
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8822
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8187
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28139
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1910
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6393
236.7 IPS |
|
|
Text Classification (SP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2575
44.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2549
43.9 IPS |
