Microsoft Corporation Surface Pro 7
Geekbench AI Score
608
Single Precision Score
323
Half Precision Score
1047
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 7 |
| Motherboard | Microsoft Corporation Surface Pro 7 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G4 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.9 IPS |
|
|
Image Classification (Q)
|
99% |
1417
264.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
650
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
761
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
659
0.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
3088
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
88% |
417
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
928
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (Q)
|
97% |
1177
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
919
7.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
453
3.49 IPS |
|
|
Depth Estimation (Q)
|
77% |
2164
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2072
2.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1616
2.08 IPS |
|
|
Style Transfer (Q)
|
98% |
4664
6.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
422
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
345
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1038
38.5 IPS |
|
|
Text Classification (SP)
|
100% |
609
812.6 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.2 IPS |
|
|
Text Classification (Q)
|
97% |
143
190.9 IPS |
|
|
Machine Translation (SP)
|
100% |
509
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (Q)
|
60% |
758
16.9 IPS |
