Microsoft Corporation Surface Pro 7
Geekbench AI Score
1149
Single Precision Score
639
Half Precision Score
1856
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 10:43 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% |
585
108.8 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (Q)
|
99% |
1425
265.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
487
7.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
965
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1595
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1362
1.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
7066
8.28 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.1 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
88% |
957
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
804
9.56 IPS |
|
|
Face Detection (Q)
|
97% |
2460
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2270
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1010
7.78 IPS |
|
|
Depth Estimation (Q)
|
77% |
3761
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4943
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4059
5.22 IPS |
|
|
Style Transfer (Q)
|
98% |
10017
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2072
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
700
933.7 IPS |
|
|
Text Classification (HP)
|
100% |
305
407.3 IPS |
|
|
Text Classification (Q)
|
97% |
265
355.0 IPS |
|
|
Machine Translation (SP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.07 IPS |
|
|
Machine Translation (Q)
|
60% |
1027
22.9 IPS |
