Microsoft Corporation Surface Pro 9
Geekbench ML Score
2242
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 02 2024 09:47 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 | High performance |
| 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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1135
212.4 IPS |
|
|
Image Classification (F16)
|
100% |
1171
219.1 IPS |
|
|
Image Classification (I8)
|
100% |
910
170.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1743
29.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1733
28.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1252
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
10642
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
10603
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
5184
6.28 IPS |
|
|
Object Detection (F32)
|
100% |
1129
84.3 IPS |
|
|
Object Detection (F16)
|
100% |
1111
83.0 IPS |
|
|
Object Detection (I8)
|
54% |
1059
79.0 IPS |
|
|
Face Detection (F32)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (F16)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (I8)
|
89% |
1642
19.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5208
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5204
40.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3722
28.9 IPS |
|
|
Style Transfer (F32)
|
100% |
22272
29.3 IPS |
|
|
Style Transfer (F16)
|
100% |
22983
30.2 IPS |
|
|
Style Transfer (I8)
|
98% |
14143
18.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3039
108.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3132
111.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1357
48.5 IPS |
|
|
Text Classification (F32)
|
100% |
736
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
707
1.02 KIPS |
|
|
Text Classification (I8)
|
98% |
396
568.8 IPS |
|
|
Machine Translation (F32)
|
100% |
977
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
972
17.9 IPS |
|
|
Machine Translation (I8)
|
70% |
508
9.35 IPS |
