Microsoft Corporation Surface Pro 7
Geekbench AI Score
827
Single Precision Score
438
Half Precision Score
1458
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:40 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% |
573
106.6 IPS |
|
|
Image Classification (HP)
|
100% |
183
33.9 IPS |
|
|
Image Classification (Q)
|
99% |
1535
286.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
927
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1061
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
836
0.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
4227
4.95 IPS |
|
|
Object Detection (SP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (Q)
|
88% |
696
55.8 IPS |
|
|
Face Detection (SP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (Q)
|
97% |
1963
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1266
9.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
567
4.37 IPS |
|
|
Depth Estimation (Q)
|
77% |
2410
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2602
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1962
2.52 IPS |
|
|
Style Transfer (Q)
|
98% |
5940
7.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
564
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1702
63.0 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
346
461.5 IPS |
|
|
Text Classification (Q)
|
97% |
286
383.2 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (Q)
|
60% |
759
16.9 IPS |
