Microsoft Corporation Surface Pro 7
Geekbench AI Score
1315
Single Precision Score
717
Half Precision Score
2086
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 09:51 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% |
663
123.3 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.2 IPS |
|
|
Image Classification (Q)
|
99% |
1798
335.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
1161
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2098
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1688
1.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
8290
9.72 IPS |
|
|
Object Detection (SP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
88% |
1022
82.0 IPS |
|
|
Face Detection (SP)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
826
9.81 IPS |
|
|
Face Detection (Q)
|
97% |
2608
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2312
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1032
7.95 IPS |
|
|
Depth Estimation (Q)
|
77% |
3876
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5014
6.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3970
5.10 IPS |
|
|
Style Transfer (Q)
|
98% |
10482
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2194
81.2 IPS |
|
|
Text Classification (SP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
423
564.3 IPS |
|
|
Text Classification (Q)
|
97% |
316
423.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (Q)
|
60% |
1205
26.9 IPS |
