Microsoft Corporation Surface Pro 7
Geekbench AI Score
1184
Single Precision Score
666
Half Precision Score
1919
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 10:51 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% |
475
88.3 IPS |
|
|
Image Classification (HP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (Q)
|
99% |
1547
288.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1894
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1480
1.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
7631
8.94 IPS |
|
|
Object Detection (SP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
88% |
954
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (Q)
|
97% |
2555
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2382
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
981
7.56 IPS |
|
|
Depth Estimation (Q)
|
77% |
3699
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4723
6.07 IPS |
|
|
Style Transfer (HP)
|
100% |
3675
4.72 IPS |
|
|
Style Transfer (Q)
|
98% |
9483
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1919
71.0 IPS |
|
|
Text Classification (SP)
|
100% |
869
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
403
538.6 IPS |
|
|
Text Classification (Q)
|
97% |
285
381.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
60% |
1102
24.6 IPS |
