Microsoft Corporation Surface Pro 7
Geekbench AI Score
1079
Single Precision Score
584
Half Precision Score
1829
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:02 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% |
664
123.5 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.0 IPS |
|
|
Image Classification (Q)
|
99% |
1724
321.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1119
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1311
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
6675
7.82 IPS |
|
|
Object Detection (SP)
|
100% |
787
62.4 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
88% |
918
73.6 IPS |
|
|
Face Detection (SP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (Q)
|
97% |
2264
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1926
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
764
5.89 IPS |
|
|
Depth Estimation (Q)
|
77% |
3706
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3681
4.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2704
3.48 IPS |
|
|
Style Transfer (Q)
|
98% |
8525
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
665
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1384
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
412
549.3 IPS |
|
|
Text Classification (Q)
|
97% |
318
426.5 IPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
60% |
1131
25.2 IPS |
