Dedicated Computing OEM-A9101-00
Geekbench AI Score
2502
Single Precision Score
1366
Half Precision Score
4820
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500E |
| 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 i5-12500E |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1861
346.0 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.2 IPS |
|
|
Image Classification (Q)
|
99% |
4645
866.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3643
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3552
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2876
3.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
13460
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (Q)
|
86% |
3810
306.2 IPS |
|
|
Face Detection (SP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
6212
74.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4821
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1963
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10786
86.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7975
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6271
8.06 IPS |
|
|
Style Transfer (Q)
|
98% |
16991
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4767
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
494
662.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2914
58.6 IPS |
