Microsoft Corporation Surface Pro 7
Geekbench AI Score
1316
Single Precision Score
676
Half Precision Score
3175
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | markerichannelly |
| Upload Date | August 09 2025 09:26 PM |
| Views | 11 |
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% |
987
183.6 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
99% |
2516
469.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
2670
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1719
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1476
1.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
7040
8.25 IPS |
|
|
Object Detection (SP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.1 IPS |
|
|
Object Detection (Q)
|
86% |
2693
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
774
9.20 IPS |
|
|
Face Detection (Q)
|
97% |
4165
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2280
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
980
7.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
5613
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4230
5.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3395
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
9883
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2702
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
820
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
420
560.1 IPS |
|
|
Text Classification (Q)
|
97% |
856
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (Q)
|
65% |
1531
30.8 IPS |
