Microsoft Corporation Surface Go 2
Geekbench AI Score
157
Single Precision Score
116
Half Precision Score
297
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 13 2025 09:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Pentium(R) CPU 4425Y @ 1.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Go 2 |
| Motherboard | Microsoft Corporation Surface Go 2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Pentium(R) CPU 4425Y @ 1.70GHz |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.1 IPS |
|
|
Image Classification (HP)
|
100% |
59
11.0 IPS |
|
|
Image Classification (Q)
|
96% |
205
38.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
86
1.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
206
3.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
167
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
159
0.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
405
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.57 IPS |
|
|
Object Detection (HP)
|
100% |
63
5.03 IPS |
|
|
Object Detection (Q)
|
58% |
151
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
252
3.00 IPS |
|
|
Face Detection (HP)
|
100% |
171
2.04 IPS |
|
|
Face Detection (Q)
|
96% |
420
5.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
222
1.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
158
1.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
421
3.35 IPS |
|
|
Style Transfer (SP)
|
100% |
420
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
448
0.58 IPS |
|
|
Style Transfer (Q)
|
87% |
921
1.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
105
3.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
98
3.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
200
7.42 IPS |
|
|
Text Classification (SP)
|
100% |
115
154.0 IPS |
|
|
Text Classification (HP)
|
100% |
77
102.4 IPS |
|
|
Text Classification (Q)
|
97% |
201
269.2 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.36 IPS |
|
|
Machine Translation (HP)
|
100% |
101
1.74 IPS |
|
|
Machine Translation (Q)
|
68% |
326
6.29 IPS |
