Microsoft Corporation Surface Pro 7
Geekbench AI Score
913
Single Precision Score
477
Half Precision Score
1607
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 01:36 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% |
682
126.8 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.1 IPS |
|
|
Image Classification (Q)
|
99% |
1754
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1139
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1162
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1078
1.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
4955
5.81 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (Q)
|
88% |
788
63.2 IPS |
|
|
Face Detection (SP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
516
6.13 IPS |
|
|
Face Detection (Q)
|
97% |
2155
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1382
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
593
4.57 IPS |
|
|
Depth Estimation (Q)
|
77% |
2646
21.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2599
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
2191
2.82 IPS |
|
|
Style Transfer (Q)
|
98% |
6654
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1750
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
364
486.0 IPS |
|
|
Text Classification (Q)
|
97% |
288
385.9 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (Q)
|
60% |
773
17.2 IPS |
