Dedicated Computing OEM-A9101-00
Geekbench AI Score
788
Single Precision Score
815
Half Precision Score
538
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | November 06 2025 12:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 710 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A9101-00 |
| Motherboard | BCM Advanced Research MX610HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Celeron G6900 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (Q)
|
100% |
280
52.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
343
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2202
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2416
2.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
1586
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
98% |
319
25.4 IPS |
|
|
Object Detection (Q)
|
86% |
318
25.5 IPS |
|
|
Face Detection (SP)
|
100% |
730
8.68 IPS |
|
|
Face Detection (HP)
|
100% |
783
9.30 IPS |
|
|
Face Detection (Q)
|
97% |
556
6.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1351
10.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
1529
11.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1016
8.14 IPS |
|
|
Style Transfer (SP)
|
100% |
4511
5.80 IPS |
|
|
Style Transfer (HP)
|
100% |
6163
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3438
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
435
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.7 IPS |
|
|
Text Classification (HP)
|
100% |
277
370.1 IPS |
|
|
Text Classification (Q)
|
97% |
212
284.7 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.88 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
70% |
236
4.42 IPS |
