Microsoft Corporation Surface Pro 7
Geekbench AI Score
1032
Single Precision Score
547
Half Precision Score
1729
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 05:27 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% |
844
156.9 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (Q)
|
99% |
1636
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
396
6.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1025
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1741
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1455
1.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
5387
6.31 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
88% |
859
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (Q)
|
97% |
2145
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1594
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
794
6.12 IPS |
|
|
Depth Estimation (Q)
|
77% |
3179
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3114
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2513
3.23 IPS |
|
|
Style Transfer (Q)
|
98% |
8200
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1835
67.9 IPS |
|
|
Text Classification (SP)
|
100% |
726
968.5 IPS |
|
|
Text Classification (HP)
|
100% |
340
453.2 IPS |
|
|
Text Classification (Q)
|
97% |
283
379.1 IPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
60% |
1060
23.6 IPS |
