Microsoft Corporation Surface Pro 7
Geekbench AI Score
811
Single Precision Score
419
Half Precision Score
1842
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | azoz_almuqati |
| Upload Date | April 10 2025 05:47 AM |
| Views | 6 |
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 |
| Power Plan | Balanced |
| 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% |
491
91.4 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (Q)
|
99% |
1429
266.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1000
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
932
1.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
4173
4.89 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
86% |
1474
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
1473
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
526
6.25 IPS |
|
|
Face Detection (Q)
|
97% |
2638
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1461
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
3689
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2804
3.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2176
2.80 IPS |
|
|
Style Transfer (Q)
|
98% |
6711
8.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
570
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1278
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
420
560.0 IPS |
|
|
Text Classification (HP)
|
100% |
232
309.5 IPS |
|
|
Text Classification (Q)
|
97% |
554
742.5 IPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
65% |
1109
22.3 IPS |
