Microsoft Corporation Surface Pro 7
Geekbench AI Score
996
Single Precision Score
546
Half Precision Score
1861
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:24 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% |
421
78.3 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
99% |
1701
317.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
535
8.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1050
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1246
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1012
1.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
5894
6.91 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (Q)
|
88% |
1022
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
1443
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
676
8.03 IPS |
|
|
Face Detection (Q)
|
97% |
2246
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1980
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
742
5.72 IPS |
|
|
Depth Estimation (Q)
|
77% |
3634
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3394
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2744
3.53 IPS |
|
|
Style Transfer (Q)
|
98% |
7720
9.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
668
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2135
79.0 IPS |
|
|
Text Classification (SP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
423
564.7 IPS |
|
|
Text Classification (Q)
|
97% |
316
423.2 IPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
60% |
1093
24.4 IPS |
