CI MM Dedicated Computing OEM-A8101-01 Dedicated Computing OEM-A8101-01
Geekbench AI Score
911
Single Precision Score
1047
Half Precision Score
709
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 18 2025 09:34 PM |
| Views | 6 |
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-A8101-01 |
| Motherboard | BCM Advanced Research MX310HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (Q)
|
100% |
378
70.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
448
7.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
2193
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3512
4.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
1972
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
98% |
465
37.0 IPS |
|
|
Object Detection (Q)
|
86% |
400
32.1 IPS |
|
|
Face Detection (SP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
990
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
739
8.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
1640
12.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2024
15.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1358
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5589
7.19 IPS |
|
|
Style Transfer (HP)
|
100% |
8401
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
4654
6.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
808
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
414
553.1 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.6 IPS |
|
|
Text Classification (Q)
|
97% |
253
338.7 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
70% |
252
4.72 IPS |
