Microsoft Corporation Surface Pro 7
Geekbench AI Score
1080
Single Precision Score
609
Half Precision Score
1811
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 01:46 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% |
602
112.0 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.4 IPS |
|
|
Image Classification (Q)
|
99% |
1590
296.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1695
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
5071
5.94 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (Q)
|
88% |
843
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (Q)
|
97% |
2487
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1914
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
837
6.45 IPS |
|
|
Depth Estimation (Q)
|
77% |
3867
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4373
5.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3551
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9601
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1911
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
640
854.3 IPS |
|
|
Text Classification (HP)
|
100% |
359
479.8 IPS |
|
|
Text Classification (Q)
|
97% |
288
385.6 IPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (Q)
|
60% |
1084
24.2 IPS |
