Microsoft Corporation Surface Pro 7
Geekbench AI Score
1137
Single Precision Score
553
Half Precision Score
1851
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 05:50 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% |
709
131.8 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.5 IPS |
|
|
Image Classification (Q)
|
99% |
1803
336.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
452
7.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1162
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2083
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1029
1.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
5746
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
88% |
960
77.0 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
650
7.73 IPS |
|
|
Face Detection (Q)
|
97% |
2432
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1756
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
689
5.31 IPS |
|
|
Depth Estimation (Q)
|
77% |
3460
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3449
4.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2416
3.11 IPS |
|
|
Style Transfer (Q)
|
98% |
8046
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
597
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1940
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
805
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
417
556.0 IPS |
|
|
Text Classification (Q)
|
97% |
320
428.9 IPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (Q)
|
60% |
977
21.8 IPS |
