Dedicated Computing OEM-A8101-00
Geekbench AI Score
282
Single Precision Score
212
Half Precision Score
491
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | tester_one |
| Upload Date | November 09 2025 03:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron G3900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dedicated Computing OEM-A8101-00 |
| Motherboard | BCM MX110HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Celeron G3900 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
171
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (Q)
|
96% |
365
68.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
350
5.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
689
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.07 IPS |
|
|
Object Detection (Q)
|
58% |
257
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (HP)
|
100% |
301
3.58 IPS |
|
|
Face Detection (Q)
|
96% |
737
8.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
424
3.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
313
2.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
772
6.15 IPS |
|
|
Style Transfer (SP)
|
100% |
807
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
814
1.05 IPS |
|
|
Style Transfer (Q)
|
87% |
1394
1.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
181
6.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
410
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.8 IPS |
|
|
Text Classification (HP)
|
100% |
166
222.1 IPS |
|
|
Text Classification (Q)
|
97% |
209
280.4 IPS |
|
|
Machine Translation (SP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (HP)
|
100% |
178
3.07 IPS |
|
|
Machine Translation (Q)
|
68% |
535
10.3 IPS |
