Microsoft Corporation Surface Pro 7
Geekbench AI Score
1219
Single Precision Score
690
Half Precision Score
1983
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 01:25 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% |
540
100.4 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
99% |
1615
301.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
414
6.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1863
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1560
1.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
7385
8.66 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
88% |
992
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
820
9.74 IPS |
|
|
Face Detection (Q)
|
97% |
2590
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2216
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1001
7.71 IPS |
|
|
Depth Estimation (Q)
|
77% |
3794
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4713
6.06 IPS |
|
|
Style Transfer (HP)
|
100% |
4102
5.27 IPS |
|
|
Style Transfer (Q)
|
98% |
10562
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2089
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.1 IPS |
|
|
Text Classification (Q)
|
97% |
317
424.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (Q)
|
60% |
1198
26.7 IPS |
