Dedicated Computing OEM-A9101-00
Geekbench AI Score
1148
Single Precision Score
704
Half Precision Score
2573
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | November 06 2025 02:24 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% |
764
142.2 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.4 IPS |
|
|
Image Classification (Q)
|
99% |
1745
325.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1834
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1452
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1215
1.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
5163
6.05 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
86% |
1780
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
830
9.86 IPS |
|
|
Face Detection (Q)
|
97% |
3186
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1946
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
991
7.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
4439
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3583
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2838
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
7091
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2392
88.6 IPS |
|
|
Text Classification (SP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
540
720.3 IPS |
|
|
Text Classification (Q)
|
97% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1100
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
65% |
1568
31.5 IPS |
