Microsoft Corporation Surface Pro 7
Geekbench AI Score
1296
Single Precision Score
693
Half Precision Score
2001
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 07:44 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% |
743
138.2 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
99% |
1783
332.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
599
9.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1134
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1909
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1472
1.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
7345
8.61 IPS |
|
|
Object Detection (SP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (Q)
|
88% |
1048
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
818
9.72 IPS |
|
|
Face Detection (Q)
|
97% |
2659
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2406
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1018
7.84 IPS |
|
|
Depth Estimation (Q)
|
77% |
2822
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4923
6.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3749
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
10306
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
930
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2325
86.1 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
441
588.1 IPS |
|
|
Text Classification (Q)
|
97% |
318
425.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
60% |
1161
25.9 IPS |
