Microsoft Corporation Surface Pro 7
Geekbench AI Score
1372
Single Precision Score
738
Half Precision Score
2179
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 02:42 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% |
630
117.2 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.3 IPS |
|
|
Image Classification (Q)
|
99% |
1838
342.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1230
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2170
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1770
2.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
8514
9.98 IPS |
|
|
Object Detection (SP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (HP)
|
100% |
365
28.9 IPS |
|
|
Object Detection (Q)
|
88% |
1062
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
838
9.96 IPS |
|
|
Face Detection (Q)
|
97% |
2713
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2535
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.21 IPS |
|
|
Depth Estimation (Q)
|
77% |
4150
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5359
6.89 IPS |
|
|
Style Transfer (HP)
|
100% |
4273
5.49 IPS |
|
|
Style Transfer (Q)
|
98% |
10961
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2293
84.9 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
472
629.8 IPS |
|
|
Text Classification (Q)
|
97% |
333
446.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (Q)
|
60% |
1254
28.0 IPS |
