Microsoft Corporation Surface Pro 7
Geekbench AI Score
764
Single Precision Score
386
Half Precision Score
1233
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:57 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% |
556
103.3 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (Q)
|
99% |
1066
198.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
453
7.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
905
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
726
0.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
3963
4.64 IPS |
|
|
Object Detection (SP)
|
100% |
438
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (Q)
|
88% |
695
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
508
6.04 IPS |
|
|
Face Detection (Q)
|
97% |
1857
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1179
9.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
558
4.30 IPS |
|
|
Depth Estimation (Q)
|
77% |
2551
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2645
3.40 IPS |
|
|
Style Transfer (HP)
|
100% |
2086
2.68 IPS |
|
|
Style Transfer (Q)
|
98% |
6285
8.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1475
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
699
933.7 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.1 IPS |
|
|
Text Classification (Q)
|
97% |
234
313.8 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (Q)
|
60% |
595
13.3 IPS |
