Microsoft Corporation Surface Pro 7
Geekbench AI Score
1203
Single Precision Score
645
Half Precision Score
1900
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 04:21 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% |
691
128.6 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (Q)
|
99% |
1327
247.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1637
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1210
1.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
6390
7.49 IPS |
|
|
Object Detection (SP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (HP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (Q)
|
88% |
934
74.8 IPS |
|
|
Face Detection (SP)
|
100% |
1401
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
746
8.86 IPS |
|
|
Face Detection (Q)
|
97% |
2481
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2111
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
928
7.15 IPS |
|
|
Depth Estimation (Q)
|
77% |
3720
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5522
7.10 IPS |
|
|
Style Transfer (HP)
|
100% |
4657
5.99 IPS |
|
|
Style Transfer (Q)
|
98% |
10039
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1985
73.5 IPS |
|
|
Text Classification (SP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
401
535.3 IPS |
|
|
Text Classification (Q)
|
97% |
316
423.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1309
29.2 IPS |
