Microsoft Corporation Surface Pro 7
Geekbench AI Score
606
Single Precision Score
331
Half Precision Score
1078
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 12:05 PM |
| 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% |
257
47.8 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
99% |
841
156.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
460
7.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
627
0.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
2947
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
88% |
428
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
900
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (Q)
|
97% |
1407
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
990
7.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
468
3.61 IPS |
|
|
Depth Estimation (Q)
|
77% |
2067
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2199
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1819
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
5723
7.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1399
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
673
897.6 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.2 IPS |
|
|
Text Classification (Q)
|
97% |
259
346.2 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
60% |
723
16.1 IPS |
