Microsoft Corporation Surface Pro 7
Geekbench AI Score
1019
Single Precision Score
525
Half Precision Score
1842
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:22 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% |
412
76.7 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
99% |
1623
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
969
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1040
1.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
5812
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
88% |
970
77.7 IPS |
|
|
Face Detection (SP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.42 IPS |
|
|
Face Detection (Q)
|
97% |
2563
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2122
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
789
6.08 IPS |
|
|
Depth Estimation (Q)
|
77% |
3812
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3753
4.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2433
3.13 IPS |
|
|
Style Transfer (Q)
|
98% |
8055
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
553
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2000
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
356
474.6 IPS |
|
|
Text Classification (Q)
|
97% |
298
399.3 IPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (Q)
|
60% |
1083
24.1 IPS |
