Microsoft Corporation Surface Pro 9
Geekbench ML Score
1924
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 19 2024 07:59 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% |
939
175.8 IPS |
|
|
Image Classification (F16)
|
100% |
918
171.7 IPS |
|
|
Image Classification (I8)
|
99% |
1692
316.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
800
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1792
29.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2715
3.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
2912
3.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
8200
9.93 IPS |
|
|
Object Detection (F32)
|
100% |
1090
81.4 IPS |
|
|
Object Detection (F16)
|
100% |
1091
81.5 IPS |
|
|
Object Detection (I8)
|
62% |
972
72.6 IPS |
|
|
Face Detection (F32)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (F16)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (I8)
|
89% |
2555
30.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3460
26.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3387
26.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
6592
51.1 IPS |
|
|
Style Transfer (F32)
|
100% |
7255
9.54 IPS |
|
|
Style Transfer (F16)
|
100% |
7280
9.58 IPS |
|
|
Style Transfer (I8)
|
98% |
11435
15.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1475
52.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1432
51.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2305
82.3 IPS |
|
|
Text Classification (F32)
|
100% |
829
1.19 KIPS |
|
|
Text Classification (F16)
|
100% |
839
1.21 KIPS |
|
|
Text Classification (I8)
|
98% |
773
1.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1042
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1034
19.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1604
29.5 IPS |
