Microsoft Corporation Surface Go
Geekbench AI Score
612
Single Precision Score
735
Half Precision Score
487
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 20 2025 08:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 615 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Microsoft Corporation Surface Go |
| Motherboard | Microsoft Corporation Surface Go |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (Q)
|
100% |
269
50.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
299
4.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1566
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2509
2.93 IPS |
|
|
Pose Estimation (Q)
|
97% |
1384
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
98% |
337
26.8 IPS |
|
|
Object Detection (Q)
|
86% |
267
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
608
7.22 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
97% |
480
5.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
1149
8.85 IPS |
|
|
Depth Estimation (HP)
|
98% |
1447
11.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
925
7.41 IPS |
|
|
Style Transfer (SP)
|
100% |
3986
5.12 IPS |
|
|
Style Transfer (HP)
|
100% |
5995
7.71 IPS |
|
|
Style Transfer (Q)
|
98% |
3217
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
568
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
196
261.2 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.0 IPS |
|
|
Text Classification (Q)
|
97% |
171
228.5 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.88 IPS |
|
|
Machine Translation (Q)
|
70% |
182
3.42 IPS |
