Microsoft Corporation Surface Pro 9
Geekbench ML Score
2488
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 18 2024 07:52 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% |
1240
232.0 IPS |
|
|
Image Classification (F16)
|
100% |
1354
253.4 IPS |
|
|
Image Classification (I8)
|
99% |
2118
396.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1058
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1041
17.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2310
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3799
4.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
3762
4.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
10756
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1361
101.6 IPS |
|
|
Object Detection (F16)
|
100% |
1420
106.0 IPS |
|
|
Object Detection (I8)
|
62% |
1274
95.1 IPS |
|
|
Face Detection (F32)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (F16)
|
100% |
2498
29.7 IPS |
|
|
Face Detection (I8)
|
89% |
3186
37.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4347
33.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4189
32.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
8526
66.1 IPS |
|
|
Style Transfer (F32)
|
100% |
8797
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
8991
11.8 IPS |
|
|
Style Transfer (I8)
|
98% |
13912
18.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2003
71.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1943
69.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3122
111.5 IPS |
|
|
Text Classification (F32)
|
100% |
1119
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1118
1.61 KIPS |
|
|
Text Classification (I8)
|
98% |
1093
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
1362
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1381
25.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2071
38.1 IPS |
