Microsoft Corporation Surface Pro 7
Geekbench AI Score
1229
Single Precision Score
672
Half Precision Score
1994
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 02:15 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% |
592
110.2 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.5 IPS |
|
|
Image Classification (Q)
|
99% |
1541
287.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1010
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1876
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1606
1.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
7565
8.87 IPS |
|
|
Object Detection (SP)
|
100% |
815
64.7 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.5 IPS |
|
|
Object Detection (Q)
|
88% |
934
74.9 IPS |
|
|
Face Detection (SP)
|
100% |
1589
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
863
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
2621
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2456
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1045
8.05 IPS |
|
|
Depth Estimation (Q)
|
77% |
3503
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3585
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
3154
4.05 IPS |
|
|
Style Transfer (Q)
|
98% |
10922
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2286
84.6 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
416
555.5 IPS |
|
|
Text Classification (Q)
|
97% |
343
459.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (Q)
|
60% |
1151
25.7 IPS |
