Microsoft Corporation Surface Pro 7
Geekbench AI Score
836
Single Precision Score
427
Half Precision Score
1433
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 03:03 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% |
634
117.9 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
99% |
1541
287.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
923
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
972
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
807
0.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
3940
4.62 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (Q)
|
88% |
766
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
609
7.24 IPS |
|
|
Face Detection (Q)
|
97% |
2313
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1228
9.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
547
4.21 IPS |
|
|
Depth Estimation (Q)
|
77% |
2554
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2621
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2001
2.57 IPS |
|
|
Style Transfer (Q)
|
98% |
6352
8.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
586
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1320
48.9 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.3 IPS |
|
|
Text Classification (HP)
|
100% |
394
526.0 IPS |
|
|
Text Classification (Q)
|
97% |
220
295.2 IPS |
|
|
Machine Translation (SP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (Q)
|
60% |
786
17.5 IPS |
