Microsoft Corporation Surface Pro 7
Geekbench AI Score
885
Single Precision Score
481
Half Precision Score
1622
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 02:43 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% |
859
159.7 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
99% |
1683
313.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
470
7.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
926
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1032
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
994
1.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
5809
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
88% |
814
65.3 IPS |
|
|
Face Detection (SP)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
577
6.85 IPS |
|
|
Face Detection (Q)
|
97% |
1786
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1290
9.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
652
5.02 IPS |
|
|
Depth Estimation (Q)
|
77% |
3077
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3005
3.86 IPS |
|
|
Style Transfer (HP)
|
100% |
2235
2.87 IPS |
|
|
Style Transfer (Q)
|
98% |
6651
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
695
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1790
66.3 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
361
482.4 IPS |
|
|
Text Classification (Q)
|
97% |
284
380.4 IPS |
|
|
Machine Translation (SP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
60% |
921
20.5 IPS |
