Microsoft Corporation Surface Pro 7
Geekbench AI Score
1282
Single Precision Score
695
Half Precision Score
2050
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 09:44 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% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.1 IPS |
|
|
Image Classification (Q)
|
99% |
1531
285.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1140
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2093
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1621
1.89 IPS |
|
|
Pose Estimation (Q)
|
95% |
8201
9.61 IPS |
|
|
Object Detection (SP)
|
100% |
819
64.9 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (Q)
|
88% |
1067
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
1509
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
2646
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2476
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1037
7.99 IPS |
|
|
Depth Estimation (Q)
|
77% |
3876
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4960
6.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3948
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
10506
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
792
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2096
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
869
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
393
525.1 IPS |
|
|
Text Classification (Q)
|
97% |
314
420.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (Q)
|
60% |
1212
27.0 IPS |
