PCC1-A8342-00 Dedicated Computing OEM-A8342-00
Geekbench AI Score
2266
Single Precision Score
1078
Half Precision Score
2656
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | June 18 2025 09:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A8342-00 |
| Motherboard | BCM Advanced Research BC246C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
801
149.0 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.3 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
1462
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4422
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3652
4.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
7574
8.95 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
58% |
1818
198.7 IPS |
|
|
Face Detection (SP)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (Q)
|
96% |
4928
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5283
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1483
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6750
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10337
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8296
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
11057
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2120
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
1258
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.7 IPS |
|
|
Text Classification (Q)
|
97% |
378
506.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (Q)
|
68% |
1699
32.8 IPS |
