Microsoft Corporation Surface Pro 7
Geekbench AI Score
1093
Single Precision Score
566
Half Precision Score
1923
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 01:00 AM |
| Views | 3 |
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% |
420
78.2 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.5 IPS |
|
|
Image Classification (Q)
|
99% |
1649
307.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
486
7.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
964
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1160
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1067
1.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
5906
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
819
65.0 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
88% |
1076
86.3 IPS |
|
|
Face Detection (SP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
646
7.67 IPS |
|
|
Face Detection (Q)
|
97% |
2309
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2185
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
792
6.10 IPS |
|
|
Depth Estimation (Q)
|
77% |
3987
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3948
5.07 IPS |
|
|
Style Transfer (HP)
|
100% |
2969
3.82 IPS |
|
|
Style Transfer (Q)
|
98% |
8958
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2171
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
1068
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
452
602.9 IPS |
|
|
Text Classification (Q)
|
97% |
338
453.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.42 IPS |
|
|
Machine Translation (Q)
|
60% |
1132
25.3 IPS |
