Dedicated Computing OEM-A9101-00
Geekbench AI Score
1141
Single Precision Score
705
Half Precision Score
2586
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | November 06 2025 02:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron G6900 |
| 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% |
770
143.2 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (Q)
|
99% |
1719
320.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1956
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1455
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1214
1.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
5146
6.03 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
86% |
1772
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
1788
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
826
9.81 IPS |
|
|
Face Detection (Q)
|
97% |
3237
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1956
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
991
7.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
4421
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3567
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2847
3.66 IPS |
|
|
Style Transfer (Q)
|
98% |
6917
8.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
790
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2371
87.8 IPS |
|
|
Text Classification (SP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
536
715.6 IPS |
|
|
Text Classification (Q)
|
97% |
1189
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (Q)
|
65% |
1569
31.5 IPS |
