Shuttle Inc. SH110
Geekbench AI Score
267
Single Precision Score
202
Half Precision Score
511
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 13 2024 12:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron G3900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Shuttle Inc. SH110 |
| Motherboard | Shuttle Inc. FH110 |
| CPU Information | |
|---|---|
| Name | Intel Celeron G3900 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.7 IPS |
|
|
Image Classification (Q)
|
96% |
345
64.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
137
2.23 IPS |
|
|
Image Segmentation (Q)
|
97% |
311
5.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
279
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
704
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.83 IPS |
|
|
Object Detection (Q)
|
58% |
267
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
505
6.00 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
96% |
629
7.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
280
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
298
2.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
796
6.33 IPS |
|
|
Style Transfer (SP)
|
100% |
809
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
805
1.03 IPS |
|
|
Style Transfer (Q)
|
87% |
1546
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
381
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
213
283.7 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.1 IPS |
|
|
Text Classification (Q)
|
97% |
371
496.4 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
178
3.06 IPS |
|
|
Machine Translation (Q)
|
68% |
551
10.6 IPS |
