Microsoft Corporation Surface Pro 7
Geekbench AI Score
1312
Single Precision Score
708
Half Precision Score
2060
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 07:36 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% |
765
142.3 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (Q)
|
99% |
1790
333.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
1133
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2051
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1604
1.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
7717
9.05 IPS |
|
|
Object Detection (SP)
|
100% |
811
64.3 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (Q)
|
88% |
997
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
814
9.67 IPS |
|
|
Face Detection (Q)
|
97% |
2625
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2349
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1014
7.82 IPS |
|
|
Depth Estimation (Q)
|
77% |
3965
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5103
6.56 IPS |
|
|
Style Transfer (HP)
|
100% |
4031
5.18 IPS |
|
|
Style Transfer (Q)
|
98% |
10533
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1055
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2158
79.9 IPS |
|
|
Text Classification (SP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
387
515.9 IPS |
|
|
Text Classification (Q)
|
97% |
316
422.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
60% |
1180
26.3 IPS |
