Microsoft Corporation Surface Pro 7
Geekbench AI Score
1088
Single Precision Score
546
Half Precision Score
1796
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 06:09 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% |
718
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (Q)
|
99% |
1703
317.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
992
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1745
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
5975
7.00 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
88% |
1011
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
1513
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (Q)
|
97% |
2335
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2069
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
|
Depth Estimation (Q)
|
77% |
3644
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3421
4.40 IPS |
|
|
Style Transfer (HP)
|
100% |
2639
3.39 IPS |
|
|
Style Transfer (Q)
|
98% |
9784
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1794
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
729
972.6 IPS |
|
|
Text Classification (HP)
|
100% |
370
494.4 IPS |
|
|
Text Classification (Q)
|
97% |
305
408.8 IPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (Q)
|
60% |
754
16.8 IPS |
