Dedicated Computing OEM-A9321-00
Geekbench AI Score
2391
Single Precision Score
1238
Half Precision Score
4453
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | June 11 2025 11:03 PM |
| Views | 4 |
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% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
99% |
4446
829.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1939
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3044
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
15351
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
86% |
3833
308.1 IPS |
|
|
Face Detection (SP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
1440
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
6236
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4194
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1724
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11086
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7925
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6610
8.50 IPS |
|
|
Style Transfer (Q)
|
98% |
15594
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3412
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
746
995.3 IPS |
|
|
Text Classification (Q)
|
97% |
580
777.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2836
57.0 IPS |
