Microsoft Corporation Surface Pro 9
Geekbench ML Score
2499
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 07:59 AM |
| 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% |
1259
235.5 IPS |
|
|
Image Classification (F16)
|
100% |
1344
251.4 IPS |
|
|
Image Classification (I8)
|
99% |
2177
407.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1028
17.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1073
17.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2302
38.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3894
4.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
3850
4.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
10398
12.6 IPS |
|
|
Object Detection (F32)
|
100% |
1350
100.8 IPS |
|
|
Object Detection (F16)
|
100% |
1421
106.1 IPS |
|
|
Object Detection (I8)
|
62% |
1216
90.8 IPS |
|
|
Face Detection (F32)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (F16)
|
100% |
2505
29.8 IPS |
|
|
Face Detection (I8)
|
89% |
3151
37.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4158
32.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4389
34.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
8450
65.5 IPS |
|
|
Style Transfer (F32)
|
100% |
8956
11.8 IPS |
|
|
Style Transfer (F16)
|
100% |
9335
12.3 IPS |
|
|
Style Transfer (I8)
|
98% |
13885
18.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1950
69.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2006
71.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3233
115.4 IPS |
|
|
Text Classification (F32)
|
100% |
1113
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1126
1.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1086
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1438
26.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1434
26.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2061
37.9 IPS |
