Dedicated Computing OEM-A9321-00
Geekbench AI Score
2495
Single Precision Score
1282
Half Precision Score
4487
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | June 20 2025 03:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A9321-00 |
| Motherboard | BCM Advanced Research BC680R |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1618
301.0 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
4459
831.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1994
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3745
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2628
3.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
13806
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
3900
313.5 IPS |
|
|
Face Detection (SP)
|
100% |
4002
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
1452
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
7451
88.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4206
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1764
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10598
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7901
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9856
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15415
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3472
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
1665
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
570
763.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2870
57.7 IPS |
