NEW PCC 1 Dedicated Computing OEM-A9321-00 Dedicated Computing OEM-A9321-00
Geekbench AI Score
2371
Single Precision Score
1405
Half Precision Score
4656
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 20 2025 12:39 AM |
| Views | 3 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (Q)
|
99% |
5615
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1984
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3178
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3004
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
17720
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
3894
313.0 IPS |
|
|
Face Detection (SP)
|
100% |
4139
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
1518
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
6688
79.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4190
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1749
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10658
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7973
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10136
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15655
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1656
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3563
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
540
723.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1826
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2907
58.4 IPS |
