Microsoft Corporation Surface Pro 7
Geekbench AI Score
1293
Single Precision Score
654
Half Precision Score
2032
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 12:46 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% |
819
152.3 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
99% |
1933
360.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1225
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1566
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1268
1.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
7676
9.00 IPS |
|
|
Object Detection (SP)
|
100% |
854
67.7 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
88% |
782
62.7 IPS |
|
|
Face Detection (SP)
|
100% |
1437
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
795
9.45 IPS |
|
|
Face Detection (Q)
|
97% |
2602
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2432
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
864
6.66 IPS |
|
|
Depth Estimation (Q)
|
77% |
3976
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4085
5.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3647
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
9327
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
635
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2216
82.1 IPS |
|
|
Text Classification (SP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
475
633.6 IPS |
|
|
Text Classification (Q)
|
97% |
328
438.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (Q)
|
60% |
1209
27.0 IPS |
