Microsoft Corporation Surface Pro 7
Geekbench AI Score
999
Single Precision Score
477
Half Precision Score
1799
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 03:20 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% |
698
129.8 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.6 IPS |
|
|
Image Classification (Q)
|
99% |
1786
333.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1085
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1059
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
888
1.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
4807
5.63 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
88% |
764
61.3 IPS |
|
|
Face Detection (SP)
|
100% |
1090
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
552
6.56 IPS |
|
|
Face Detection (Q)
|
97% |
2190
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1695
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
664
5.11 IPS |
|
|
Depth Estimation (Q)
|
77% |
3492
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3485
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2480
3.19 IPS |
|
|
Style Transfer (Q)
|
98% |
8829
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
641
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2083
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
400
534.1 IPS |
|
|
Text Classification (Q)
|
97% |
328
439.8 IPS |
|
|
Machine Translation (SP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
60% |
1086
24.2 IPS |
