Microsoft Corporation Surface Pro 7
Geekbench AI Score
1064
Single Precision Score
556
Half Precision Score
1895
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:13 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% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
99% |
1731
322.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
421
6.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
1058
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1270
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1039
1.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
5879
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (Q)
|
88% |
1026
82.2 IPS |
|
|
Face Detection (SP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (Q)
|
97% |
2397
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2060
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
681
5.25 IPS |
|
|
Depth Estimation (Q)
|
77% |
3546
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3140
4.04 IPS |
|
|
Style Transfer (HP)
|
100% |
2622
3.37 IPS |
|
|
Style Transfer (Q)
|
98% |
8300
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2127
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.0 IPS |
|
|
Text Classification (Q)
|
97% |
318
425.6 IPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (Q)
|
60% |
1135
25.3 IPS |
