Microsoft Corporation Surface Pro 7
Geekbench AI Score
1083
Single Precision Score
528
Half Precision Score
1798
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 01:54 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% |
597
111.0 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
1533
286.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
958
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1281
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1007
1.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
5082
5.96 IPS |
|
|
Object Detection (SP)
|
100% |
787
62.4 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
88% |
1057
84.8 IPS |
|
|
Face Detection (SP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
686
8.15 IPS |
|
|
Face Detection (Q)
|
97% |
2455
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2029
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
|
Depth Estimation (Q)
|
77% |
3684
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3768
4.84 IPS |
|
|
Style Transfer (HP)
|
100% |
2750
3.53 IPS |
|
|
Style Transfer (Q)
|
98% |
9194
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1748
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
955
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
454
605.6 IPS |
|
|
Text Classification (Q)
|
97% |
330
442.3 IPS |
|
|
Machine Translation (SP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
60% |
936
20.9 IPS |
