IA MM Dedicated Computing OEM-A8101-01 Dedicated Computing OEM-A8101-01
Geekbench AI Score
845
Single Precision Score
1008
Half Precision Score
645
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 18 2025 04:18 AM |
| Views | 3 |
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 i3-8100T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
399
74.2 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.1 IPS |
|
|
Image Classification (Q)
|
100% |
360
67.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
359
5.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3477
4.06 IPS |
|
|
Pose Estimation (Q)
|
97% |
1873
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (HP)
|
98% |
459
36.5 IPS |
|
|
Object Detection (Q)
|
86% |
380
30.6 IPS |
|
|
Face Detection (SP)
|
100% |
727
8.63 IPS |
|
|
Face Detection (HP)
|
100% |
936
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
582
6.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
1599
12.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
1995
15.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1288
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5415
6.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8301
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
4259
5.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1068
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
748
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.3 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.8 IPS |
|
|
Text Classification (Q)
|
97% |
244
326.4 IPS |
|
|
Machine Translation (SP)
|
100% |
418
7.19 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
70% |
234
4.38 IPS |
