Microsoft Corporation Surface Pro 7
Geekbench AI Score
1317
Single Precision Score
708
Half Precision Score
2050
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 12:49 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% |
595
110.7 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.5 IPS |
|
|
Image Classification (Q)
|
99% |
1737
324.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1151
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1706
1.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
7986
9.36 IPS |
|
|
Object Detection (SP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (HP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (Q)
|
88% |
998
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1571
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (Q)
|
97% |
2598
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2572
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1030
7.93 IPS |
|
|
Depth Estimation (Q)
|
77% |
3973
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5117
6.58 IPS |
|
|
Style Transfer (HP)
|
100% |
4113
5.29 IPS |
|
|
Style Transfer (Q)
|
98% |
10104
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2161
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
387
516.2 IPS |
|
|
Text Classification (Q)
|
97% |
311
416.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
60% |
1176
26.2 IPS |
