Microsoft Corporation Surface Pro 7
Geekbench AI Score
854
Single Precision Score
446
Half Precision Score
1379
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:31 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% |
652
121.3 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.4 IPS |
|
|
Image Classification (Q)
|
99% |
1100
205.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
823
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
991
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
932
1.09 IPS |
|
|
Pose Estimation (Q)
|
95% |
3365
3.94 IPS |
|
|
Object Detection (SP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
88% |
790
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
480
5.70 IPS |
|
|
Face Detection (Q)
|
97% |
1583
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1266
9.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
628
4.84 IPS |
|
|
Depth Estimation (Q)
|
77% |
3023
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2654
3.41 IPS |
|
|
Style Transfer (HP)
|
100% |
2315
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
6931
8.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1907
70.6 IPS |
|
|
Text Classification (SP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
352
469.7 IPS |
|
|
Text Classification (Q)
|
97% |
207
276.9 IPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (Q)
|
60% |
794
17.7 IPS |
