Microsoft Corporation Surface Pro 9
Geekbench ML Score
1917
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 20 2024 02:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
976
182.7 IPS |
|
|
Image Classification (F16)
|
100% |
1002
187.6 IPS |
|
|
Image Classification (I8)
|
99% |
1631
305.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
780
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1823
30.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2920
3.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
2959
3.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
8364
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
1093
81.6 IPS |
|
|
Object Detection (F16)
|
100% |
950
70.9 IPS |
|
|
Object Detection (I8)
|
62% |
994
74.2 IPS |
|
|
Face Detection (F32)
|
100% |
2113
25.1 IPS |
|
|
Face Detection (F16)
|
100% |
2113
25.1 IPS |
|
|
Face Detection (I8)
|
89% |
2507
29.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3369
26.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3238
25.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
6513
50.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7034
9.25 IPS |
|
|
Style Transfer (F16)
|
100% |
6795
8.94 IPS |
|
|
Style Transfer (I8)
|
98% |
11431
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1500
53.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1548
55.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2384
85.1 IPS |
|
|
Text Classification (F32)
|
100% |
805
1.16 KIPS |
|
|
Text Classification (F16)
|
100% |
833
1.20 KIPS |
|
|
Text Classification (I8)
|
98% |
723
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1103
20.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1627
29.9 IPS |
