Microsoft Corporation Surface Go
Geekbench AI Score
155
Single Precision Score
116
Half Precision Score
289
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | StingerYar |
| Upload Date | December 21 2025 11:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium 4415Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Go |
| Motherboard | Microsoft Corporation Surface Go |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Pentium 4415Y |
| 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% |
99
18.3 IPS |
|
|
Image Classification (HP)
|
100% |
59
10.9 IPS |
|
|
Image Classification (Q)
|
96% |
185
34.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
98
1.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
82
1.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
219
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
157
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
149
0.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
383
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.09 IPS |
|
|
Object Detection (HP)
|
100% |
63
4.97 IPS |
|
|
Object Detection (Q)
|
58% |
138
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (HP)
|
100% |
177
2.10 IPS |
|
|
Face Detection (Q)
|
96% |
413
4.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
225
1.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
163
1.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
419
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
438
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
424
0.55 IPS |
|
|
Style Transfer (Q)
|
87% |
865
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
93
3.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
90
3.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
215
7.99 IPS |
|
|
Text Classification (SP)
|
100% |
112
150.0 IPS |
|
|
Text Classification (HP)
|
100% |
87
116.5 IPS |
|
|
Text Classification (Q)
|
97% |
188
252.5 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.35 IPS |
|
|
Machine Translation (HP)
|
100% |
109
1.88 IPS |
|
|
Machine Translation (Q)
|
68% |
321
6.19 IPS |
