Microsoft Corporation Surface Pro 7
Geekbench AI Score
800
Single Precision Score
400
Half Precision Score
1307
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 01:40 PM |
| 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% |
417
77.6 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (Q)
|
99% |
813
151.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
684
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1075
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
844
0.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
4080
4.78 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.4 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (Q)
|
88% |
688
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
523
6.22 IPS |
|
|
Face Detection (Q)
|
97% |
1694
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1269
9.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
551
4.24 IPS |
|
|
Depth Estimation (Q)
|
77% |
2475
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2735
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
2144
2.76 IPS |
|
|
Style Transfer (Q)
|
98% |
6747
8.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
562
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1655
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
331
442.0 IPS |
|
|
Text Classification (Q)
|
97% |
281
375.8 IPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
169
2.90 IPS |
|
|
Machine Translation (Q)
|
60% |
713
15.9 IPS |
