Microsoft Corporation Surface Pro 7
Geekbench AI Score
1077
Single Precision Score
616
Half Precision Score
1757
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 12:37 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% |
586
109.0 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (Q)
|
99% |
1468
273.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1016
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1693
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1336
1.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
6458
7.57 IPS |
|
|
Object Detection (SP)
|
100% |
588
46.6 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
88% |
855
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
1418
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.93 IPS |
|
|
Face Detection (Q)
|
97% |
2422
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1877
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
613
4.72 IPS |
|
|
Depth Estimation (Q)
|
77% |
2417
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3155
4.06 IPS |
|
|
Style Transfer (HP)
|
100% |
3567
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
6940
8.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2028
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
439
585.5 IPS |
|
|
Text Classification (Q)
|
97% |
335
448.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (Q)
|
60% |
1239
27.6 IPS |
