Microsoft Corporation Surface Pro 7
Geekbench AI Score
1187
Single Precision Score
588
Half Precision Score
1954
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 04:26 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% |
854
158.9 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.5 IPS |
|
|
Image Classification (Q)
|
99% |
1709
318.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
551
8.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1087
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1579
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
5409
6.34 IPS |
|
|
Object Detection (SP)
|
100% |
698
55.3 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
88% |
993
79.6 IPS |
|
|
Face Detection (SP)
|
100% |
1335
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (Q)
|
97% |
2327
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2383
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
781
6.02 IPS |
|
|
Depth Estimation (Q)
|
77% |
3683
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3419
4.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2394
3.08 IPS |
|
|
Style Transfer (Q)
|
98% |
9048
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2266
83.9 IPS |
|
|
Text Classification (SP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
510
681.0 IPS |
|
|
Text Classification (Q)
|
97% |
362
484.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1281
28.6 IPS |
