Microsoft Corporation Surface Pro 7
Geekbench AI Score
1230
Single Precision Score
634
Half Precision Score
2065
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 07:49 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% |
711
132.3 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
99% |
1782
332.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1161
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1200
1.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
6918
8.11 IPS |
|
|
Object Detection (SP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
88% |
1045
83.8 IPS |
|
|
Face Detection (SP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (Q)
|
97% |
2626
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2409
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
962
7.41 IPS |
|
|
Depth Estimation (Q)
|
77% |
3989
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3745
4.81 IPS |
|
|
Style Transfer (HP)
|
100% |
3169
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
9975
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
768
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2199
81.4 IPS |
|
|
Text Classification (SP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
454
606.5 IPS |
|
|
Text Classification (Q)
|
97% |
345
462.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1190
26.5 IPS |
