Microsoft Corporation Surface Pro 7
Geekbench AI Score
1090
Single Precision Score
564
Half Precision Score
1893
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 04:10 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% |
692
128.8 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
99% |
1680
313.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
981
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1339
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
985
1.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
4962
5.82 IPS |
|
|
Object Detection (SP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (HP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (Q)
|
88% |
947
75.9 IPS |
|
|
Face Detection (SP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
667
7.92 IPS |
|
|
Face Detection (Q)
|
97% |
2671
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2233
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
763
5.88 IPS |
|
|
Depth Estimation (Q)
|
77% |
3726
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3273
4.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3060
3.93 IPS |
|
|
Style Transfer (Q)
|
98% |
10421
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2062
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
390
520.6 IPS |
|
|
Text Classification (Q)
|
97% |
302
403.8 IPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (Q)
|
60% |
1187
26.5 IPS |
