Dedicated Computing OEM-A9101-00
Geekbench AI Score
792
Single Precision Score
822
Half Precision Score
539
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | November 06 2025 02:37 AM |
| Views | 2 |
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% |
338
62.8 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (Q)
|
100% |
292
54.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
344
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2208
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
1590
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
98% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
86% |
315
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.70 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (Q)
|
97% |
557
6.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1356
10.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
1531
11.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1021
8.18 IPS |
|
|
Style Transfer (SP)
|
100% |
4524
5.82 IPS |
|
|
Style Transfer (HP)
|
100% |
6164
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
3446
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1117
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
436
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
471
629.0 IPS |
|
|
Text Classification (HP)
|
100% |
295
394.4 IPS |
|
|
Text Classification (Q)
|
97% |
212
283.7 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.93 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (Q)
|
70% |
229
4.30 IPS |
