Microsoft Corporation Surface Pro 7
Geekbench AI Score
898
Single Precision Score
454
Half Precision Score
1658
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 01:42 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% |
572
106.4 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.4 IPS |
|
|
Image Classification (Q)
|
99% |
1546
288.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
264
4.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
961
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
881
1.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
4386
5.14 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
88% |
702
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
1231
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (Q)
|
97% |
1979
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1389
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
603
4.65 IPS |
|
|
Depth Estimation (Q)
|
77% |
2967
23.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2972
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2429
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
8510
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
857
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2146
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
625
834.8 IPS |
|
|
Text Classification (HP)
|
100% |
419
559.5 IPS |
|
|
Text Classification (Q)
|
97% |
344
460.4 IPS |
|
|
Machine Translation (SP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
60% |
933
20.8 IPS |
