Microsoft Corporation Surface Pro 7
Geekbench AI Score
1160
Single Precision Score
634
Half Precision Score
1861
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 02:11 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% |
656
122.0 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.2 IPS |
|
|
Image Classification (Q)
|
99% |
1718
320.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1150
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2038
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1491
1.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
6462
7.57 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
88% |
828
66.4 IPS |
|
|
Face Detection (SP)
|
100% |
1434
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
812
9.64 IPS |
|
|
Face Detection (Q)
|
97% |
2553
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2000
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
869
6.70 IPS |
|
|
Depth Estimation (Q)
|
77% |
3298
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4247
5.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3494
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
9466
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
755
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1864
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.0 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.9 IPS |
|
|
Text Classification (Q)
|
97% |
275
368.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
60% |
1158
25.8 IPS |
