Microsoft Corporation Surface Pro 7
Geekbench AI Score
1240
Single Precision Score
702
Half Precision Score
2032
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 01:29 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% |
608
113.1 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.5 IPS |
|
|
Image Classification (Q)
|
99% |
1717
320.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1147
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1586
1.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
7537
8.83 IPS |
|
|
Object Detection (SP)
|
100% |
767
60.9 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
88% |
1010
81.0 IPS |
|
|
Face Detection (SP)
|
100% |
1570
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (Q)
|
97% |
2552
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2320
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1004
7.73 IPS |
|
|
Depth Estimation (Q)
|
77% |
3807
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4683
6.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3991
5.13 IPS |
|
|
Style Transfer (Q)
|
98% |
10219
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
922
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
814
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2091
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
409
545.8 IPS |
|
|
Text Classification (Q)
|
97% |
319
427.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1213
27.1 IPS |
