Microsoft Corporation Surface Pro 7
Geekbench AI Score
1383
Single Precision Score
736
Half Precision Score
2144
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 05:14 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% |
772
143.5 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
99% |
1814
338.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
470
7.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1167
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1665
1.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
8520
9.99 IPS |
|
|
Object Detection (SP)
|
100% |
863
68.4 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
88% |
1032
82.7 IPS |
|
|
Face Detection (SP)
|
100% |
1559
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
837
9.95 IPS |
|
|
Face Detection (Q)
|
97% |
2689
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2538
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1042
8.02 IPS |
|
|
Depth Estimation (Q)
|
77% |
4066
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5011
6.44 IPS |
|
|
Style Transfer (HP)
|
100% |
4203
5.40 IPS |
|
|
Style Transfer (Q)
|
98% |
11324
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2259
83.7 IPS |
|
|
Text Classification (SP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.1 IPS |
|
|
Text Classification (Q)
|
97% |
331
443.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1193
26.6 IPS |
