PCC1 Dedicated Computing OEM-A8342-00 Dedicated Computing OEM-A8342-00
Geekbench AI Score
942
Single Precision Score
1095
Half Precision Score
770
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 25 2025 11:36 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
394
73.3 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.9 IPS |
|
|
Image Classification (Q)
|
100% |
403
74.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
499
8.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3623
4.23 IPS |
|
|
Pose Estimation (Q)
|
97% |
2084
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (HP)
|
98% |
488
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
439
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
916
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1088
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
814
9.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1700
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2119
16.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1469
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5800
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
8755
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5025
6.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1626
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
904
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
456
609.2 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.8 IPS |
|
|
Text Classification (Q)
|
97% |
272
364.8 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.93 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
70% |
270
5.07 IPS |
