Microsoft Corporation Surface Go 3
Geekbench AI Score
279
Single Precision Score
155
Half Precision Score
343
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | retal2 |
| Upload Date | October 15 2025 07:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Pentium(R) CPU GOLD 6500Y @ 1.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Go 3 |
| Motherboard | Microsoft Corporation Surface Go 3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Pentium(R) CPU GOLD 6500Y @ 1.10GHz |
| 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 | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (HP)
|
100% |
82
15.3 IPS |
|
|
Image Classification (Q)
|
96% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
258
4.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
390
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
691
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.20 IPS |
|
|
Object Detection (Q)
|
58% |
207
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
596
7.08 IPS |
|
|
Face Detection (HP)
|
100% |
203
2.42 IPS |
|
|
Face Detection (Q)
|
96% |
552
6.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
408
3.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
193
1.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
555
4.43 IPS |
|
|
Style Transfer (SP)
|
100% |
808
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
373
0.48 IPS |
|
|
Style Transfer (Q)
|
87% |
1016
1.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
160
5.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
124
4.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
260
9.64 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.6 IPS |
|
|
Text Classification (HP)
|
100% |
104
138.6 IPS |
|
|
Text Classification (Q)
|
97% |
81
107.9 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (Q)
|
68% |
334
6.46 IPS |
