Dedicated Computing OEM-A8101-00
Geekbench AI Score
255
Single Precision Score
169
Half Precision Score
218
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | tester_one |
| Upload Date | November 09 2025 03:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 510 |
| 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% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.2 IPS |
|
|
Image Classification (Q)
|
100% |
134
24.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
165
2.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
369
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
223
0.26 IPS |
|
|
Pose Estimation (Q)
|
97% |
355
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.70 IPS |
|
|
Object Detection (Q)
|
86% |
138
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
335
3.98 IPS |
|
|
Face Detection (HP)
|
100% |
232
2.75 IPS |
|
|
Face Detection (Q)
|
97% |
291
3.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
444
3.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
284
2.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
396
3.17 IPS |
|
|
Style Transfer (SP)
|
100% |
849
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
622
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
795
1.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.04 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
195
7.21 IPS |
|
|
Text Classification (SP)
|
100% |
131
175.0 IPS |
|
|
Text Classification (HP)
|
100% |
98
130.8 IPS |
|
|
Text Classification (Q)
|
97% |
104
139.7 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (HP)
|
96% |
153
2.64 IPS |
|
|
Machine Translation (Q)
|
70% |
126
2.37 IPS |
