Microsoft Corporation Surface Pro 7
Geekbench AI Score
1247
Single Precision Score
651
Half Precision Score
2023
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 09:59 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% |
782
145.5 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.0 IPS |
|
|
Image Classification (Q)
|
99% |
1778
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
1103
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1647
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1285
1.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
7240
8.49 IPS |
|
|
Object Detection (SP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
88% |
970
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
1567
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
680
8.09 IPS |
|
|
Face Detection (Q)
|
97% |
2572
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2451
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
960
7.39 IPS |
|
|
Depth Estimation (Q)
|
77% |
3844
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4353
5.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3611
4.64 IPS |
|
|
Style Transfer (Q)
|
98% |
9933
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
956
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2177
80.6 IPS |
|
|
Text Classification (SP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
454
606.6 IPS |
|
|
Text Classification (Q)
|
97% |
329
440.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (Q)
|
60% |
1189
26.5 IPS |
