PCC1-A8342-00 Dedicated Computing OEM-A8342-00
Geekbench AI Score
946
Single Precision Score
1099
Half Precision Score
775
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | June 18 2025 10:00 PM |
| Views | 4 |
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% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
100% |
407
75.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
502
8.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3631
4.24 IPS |
|
|
Pose Estimation (Q)
|
97% |
2092
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (HP)
|
98% |
492
39.2 IPS |
|
|
Object Detection (Q)
|
86% |
445
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
818
9.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1717
13.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2124
16.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1484
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5846
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
8754
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5049
6.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
902
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.5 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.1 IPS |
|
|
Text Classification (Q)
|
97% |
276
370.2 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
70% |
270
5.06 IPS |
