Microsoft Corporation Surface Pro 7
Geekbench AI Score
1266
Single Precision Score
686
Half Precision Score
2039
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 12 2024 02:04 AM |
| Views | 16 |
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% |
832
154.7 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (Q)
|
99% |
1895
353.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1278
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2147
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1630
1.90 IPS |
|
|
Pose Estimation (Q)
|
95% |
5478
6.42 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
88% |
792
63.5 IPS |
|
|
Face Detection (SP)
|
100% |
1422
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
763
9.06 IPS |
|
|
Face Detection (Q)
|
97% |
2644
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2262
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1039
8.01 IPS |
|
|
Depth Estimation (Q)
|
77% |
4008
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4644
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
4075
5.24 IPS |
|
|
Style Transfer (Q)
|
98% |
11373
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1017
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2272
84.1 IPS |
|
|
Text Classification (SP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
447
597.3 IPS |
|
|
Text Classification (Q)
|
97% |
349
468.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.83 IPS |
|
|
Machine Translation (Q)
|
60% |
1243
27.7 IPS |
