Microsoft Corporation Surface Pro 7
Geekbench AI Score
1219
Single Precision Score
622
Half Precision Score
1963
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 01:32 PM |
| 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% |
715
132.9 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
99% |
1677
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
1143
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1863
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1379
1.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
8032
9.41 IPS |
|
|
Object Detection (SP)
|
100% |
878
69.6 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
88% |
923
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
760
9.04 IPS |
|
|
Face Detection (Q)
|
97% |
2486
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2089
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
843
6.49 IPS |
|
|
Depth Estimation (Q)
|
77% |
3581
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4209
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3074
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
8792
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
898
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2078
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
491
655.8 IPS |
|
|
Text Classification (Q)
|
97% |
339
454.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (Q)
|
60% |
1088
24.3 IPS |
