Microsoft Corporation Surface Pro 7
Geekbench AI Score
1056
Single Precision Score
549
Half Precision Score
1898
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:07 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% |
404
75.2 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
99% |
1758
327.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1074
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1270
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
5817
6.82 IPS |
|
|
Object Detection (SP)
|
100% |
752
59.6 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
88% |
983
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
1459
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
97% |
2472
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1871
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
752
5.79 IPS |
|
|
Depth Estimation (Q)
|
77% |
3695
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3674
4.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2781
3.57 IPS |
|
|
Style Transfer (Q)
|
98% |
8314
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2002
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
396
528.4 IPS |
|
|
Text Classification (Q)
|
97% |
319
427.8 IPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1163
25.9 IPS |
