Microsoft Corporation Surface Pro 7+
Geekbench AI Score
1414
Single Precision Score
622
Half Precision Score
3094
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 09:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 7+ |
| Motherboard | Microsoft Corporation Surface Pro 7+ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1712
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.7 IPS |
|
|
Image Classification (Q)
|
99% |
3038
566.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
1886
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1489
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
872
1.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
4340
5.09 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
86% |
3235
260.0 IPS |
|
|
Face Detection (SP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
759
9.02 IPS |
|
|
Face Detection (Q)
|
97% |
5048
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2506
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
819
6.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
7169
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4160
5.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2919
3.75 IPS |
|
|
Style Transfer (Q)
|
98% |
10402
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
790
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2086
77.3 IPS |
|
|
Text Classification (SP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
472
629.6 IPS |
|
|
Text Classification (Q)
|
97% |
980
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.95 IPS |
|
|
Machine Translation (Q)
|
65% |
1300
26.1 IPS |
