Microsoft Corporation Surface Pro 7
Geekbench AI Score
1196
Single Precision Score
670
Half Precision Score
2010
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 01:27 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% |
565
105.0 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
99% |
1828
340.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1213
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1877
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1611
1.88 IPS |
|
|
Pose Estimation (Q)
|
95% |
7145
8.37 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
88% |
962
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
1410
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (Q)
|
97% |
2509
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2232
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
957
7.37 IPS |
|
|
Depth Estimation (Q)
|
77% |
3689
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4528
5.82 IPS |
|
|
Style Transfer (HP)
|
100% |
3715
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
9914
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
884
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
700
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2039
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
400
533.7 IPS |
|
|
Text Classification (Q)
|
97% |
296
396.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (Q)
|
60% |
1277
28.5 IPS |
