Microsoft Corporation Surface Pro 7
Geekbench AI Score
1132
Single Precision Score
643
Half Precision Score
1834
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 01:53 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% |
327
60.8 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
99% |
1322
246.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
1013
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1782
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1492
1.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
6670
7.82 IPS |
|
|
Object Detection (SP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
88% |
917
73.5 IPS |
|
|
Face Detection (SP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.24 IPS |
|
|
Face Detection (Q)
|
97% |
2422
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2283
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
974
7.50 IPS |
|
|
Depth Estimation (Q)
|
77% |
3430
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4606
5.92 IPS |
|
|
Style Transfer (HP)
|
100% |
3853
4.95 IPS |
|
|
Style Transfer (Q)
|
98% |
9771
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
930
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1991
73.7 IPS |
|
|
Text Classification (SP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
391
522.4 IPS |
|
|
Text Classification (Q)
|
97% |
291
389.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
60% |
1119
25.0 IPS |
