Microsoft Corporation Surface Pro 7
Geekbench AI Score
1190
Single Precision Score
627
Half Precision Score
1913
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 12:45 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% |
593
110.4 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
99% |
1472
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1080
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1814
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1451
1.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
7228
8.47 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.4 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
88% |
923
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (Q)
|
97% |
2519
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2069
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
962
7.41 IPS |
|
|
Depth Estimation (Q)
|
77% |
3700
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4640
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2957
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
9197
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
884
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2050
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
347
463.1 IPS |
|
|
Text Classification (Q)
|
97% |
305
408.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.03 IPS |
|
|
Machine Translation (Q)
|
60% |
1155
25.8 IPS |
