Microsoft Corporation Surface Pro 7
Geekbench AI Score
1252
Single Precision Score
646
Half Precision Score
1991
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 02:07 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% |
670
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (Q)
|
99% |
1679
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1185
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2250
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1786
2.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
6600
7.74 IPS |
|
|
Object Detection (SP)
|
100% |
799
63.4 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
88% |
992
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
1442
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (Q)
|
97% |
2497
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2109
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
792
6.10 IPS |
|
|
Depth Estimation (Q)
|
77% |
3928
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3833
4.93 IPS |
|
|
Style Transfer (HP)
|
100% |
2938
3.78 IPS |
|
|
Style Transfer (Q)
|
98% |
9566
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
860
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2120
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
483
644.8 IPS |
|
|
Text Classification (Q)
|
97% |
324
434.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (Q)
|
60% |
1166
26.0 IPS |
