Microsoft Corporation Surface Pro 7
Geekbench AI Score
1032
Single Precision Score
526
Half Precision Score
1854
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 05:44 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% |
751
139.6 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.6 IPS |
|
|
Image Classification (Q)
|
99% |
1805
336.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
1092
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1225
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1018
1.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
5810
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.7 IPS |
|
|
Object Detection (Q)
|
88% |
1002
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
1375
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
659
7.84 IPS |
|
|
Face Detection (Q)
|
97% |
2377
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1948
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
688
5.30 IPS |
|
|
Depth Estimation (Q)
|
77% |
3363
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3114
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2599
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
7359
9.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
692
25.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2045
75.7 IPS |
|
|
Text Classification (SP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
392
522.9 IPS |
|
|
Text Classification (Q)
|
97% |
336
450.5 IPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
60% |
1038
23.2 IPS |
