Microsoft Corporation Surface Pro 7
Geekbench AI Score
1083
Single Precision Score
595
Half Precision Score
1749
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 10:39 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% |
561
104.3 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (Q)
|
99% |
1485
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
989
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1782
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1388
1.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
6160
7.22 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (Q)
|
88% |
821
65.8 IPS |
|
|
Face Detection (SP)
|
100% |
1323
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
703
8.36 IPS |
|
|
Face Detection (Q)
|
97% |
2268
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1892
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
867
6.68 IPS |
|
|
Depth Estimation (Q)
|
77% |
3257
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4076
5.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3287
4.23 IPS |
|
|
Style Transfer (Q)
|
98% |
8760
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
773
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2055
76.1 IPS |
|
|
Text Classification (SP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
315
420.6 IPS |
|
|
Text Classification (Q)
|
97% |
264
354.2 IPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
60% |
1032
23.0 IPS |
