Microsoft Corporation Surface Pro 7
Geekbench AI Score
1205
Single Precision Score
666
Half Precision Score
1990
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 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% |
638
118.7 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.3 IPS |
|
|
Image Classification (Q)
|
99% |
1670
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1456
1.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
7443
8.72 IPS |
|
|
Object Detection (SP)
|
100% |
925
73.4 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
88% |
943
75.6 IPS |
|
|
Face Detection (SP)
|
100% |
1233
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
861
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
2487
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2164
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
956
7.36 IPS |
|
|
Depth Estimation (Q)
|
77% |
3631
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4738
6.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3750
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
9631
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2363
87.5 IPS |
|
|
Text Classification (SP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
398
531.1 IPS |
|
|
Text Classification (Q)
|
97% |
316
423.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
60% |
1153
25.7 IPS |
