Microsoft Corporation Surface Pro 7
Geekbench AI Score
1083
Single Precision Score
551
Half Precision Score
1904
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 03:26 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% |
735
136.6 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
99% |
1690
315.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1179
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1251
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
5603
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.1 IPS |
|
|
Object Detection (Q)
|
88% |
1025
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (Q)
|
97% |
2262
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1787
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
708
5.46 IPS |
|
|
Depth Estimation (Q)
|
77% |
3597
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3532
4.54 IPS |
|
|
Style Transfer (HP)
|
100% |
2516
3.23 IPS |
|
|
Style Transfer (Q)
|
98% |
9998
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2046
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
484
646.3 IPS |
|
|
Text Classification (Q)
|
97% |
311
417.1 IPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
60% |
1058
23.6 IPS |
