Microsoft Corporation Surface Pro 7
Geekbench AI Score
1408
Single Precision Score
727
Half Precision Score
2632
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Remista |
| Upload Date | January 14 2025 04:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 7 |
| Motherboard | Microsoft Corporation Surface Pro 7 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
952
177.1 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
2724
508.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1129
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1941
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1619
1.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
7368
8.64 IPS |
|
|
Object Detection (SP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
86% |
2282
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
2483
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
4397
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2602
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1092
8.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
6515
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4845
6.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3473
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
10609
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2117
78.4 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
485
647.5 IPS |
|
|
Text Classification (Q)
|
97% |
319
427.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
65% |
1504
30.2 IPS |
