Microsoft Corporation Surface Go 3
Geekbench AI Score
713
Single Precision Score
412
Half Precision Score
887
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 13 2024 10:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10100Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Go 3 |
| Motherboard | Microsoft Corporation Surface Go 3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100Y |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
464
86.2 IPS |
|
|
Image Classification (HP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (Q)
|
96% |
609
113.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
596
9.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
939
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
758
0.88 IPS |
|
|
Pose Estimation (Q)
|
87% |
1646
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
86% |
468
37.6 IPS |
|
|
Face Detection (SP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
519
6.17 IPS |
|
|
Face Detection (Q)
|
96% |
1182
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1227
9.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
587
4.52 IPS |
|
|
Depth Estimation (Q)
|
77% |
1098
8.78 IPS |
|
|
Style Transfer (SP)
|
100% |
2399
3.08 IPS |
|
|
Style Transfer (HP)
|
100% |
1675
2.15 IPS |
|
|
Style Transfer (Q)
|
87% |
3289
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
440
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
765
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
531
708.3 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.4 IPS |
|
|
Text Classification (Q)
|
97% |
519
695.4 IPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (Q)
|
60% |
639
14.2 IPS |
