Microsoft Corporation Surface Go
Geekbench AI Score
790
Single Precision Score
1136
Half Precision Score
1068
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 20 2025 12:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 615 (iGPU) |
| 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% |
521
96.9 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
100% |
516
95.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1101
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1388
1.62 IPS |
|
|
Pose Estimation (HP)
|
99% |
1475
1.73 IPS |
|
|
Pose Estimation (Q)
|
97% |
1968
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (HP)
|
99% |
732
58.3 IPS |
|
|
Object Detection (Q)
|
88% |
633
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
2257
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1645
12.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2883
22.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
2607
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3900
5.01 IPS |
|
|
Style Transfer (HP)
|
100% |
5198
6.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4701
6.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
684
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1147
42.5 IPS |
|
|
Text Classification (SP)
|
71% |
216
312.8 IPS |
|
|
Text Classification (HP)
|
71% |
232
335.9 IPS |
|
|
Text Classification (Q)
|
92% |
179
240.2 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (HP)
|
99% |
486
8.39 IPS |
|
|
Machine Translation (Q)
|
98% |
481
8.30 IPS |
