Microsoft Corporation Surface Pro 9
Geekbench ML Score
2213
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 21 2024 04:52 PM |
| Views | 3 |
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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1051
196.7 IPS |
|
|
Image Classification (F16)
|
100% |
1044
195.3 IPS |
|
|
Image Classification (I8)
|
100% |
836
156.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1625
27.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1638
27.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1246
20.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10401
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10394
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
5138
6.22 IPS |
|
|
Object Detection (F32)
|
100% |
1220
91.1 IPS |
|
|
Object Detection (F16)
|
100% |
1237
92.3 IPS |
|
|
Object Detection (I8)
|
54% |
1035
77.2 IPS |
|
|
Face Detection (F32)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (F16)
|
100% |
2393
28.5 IPS |
|
|
Face Detection (I8)
|
89% |
1594
19.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5159
40.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5222
40.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
3759
29.2 IPS |
|
|
Style Transfer (F32)
|
100% |
22726
29.9 IPS |
|
|
Style Transfer (F16)
|
100% |
22677
29.8 IPS |
|
|
Style Transfer (I8)
|
98% |
14100
18.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3137
112.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3201
114.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1378
49.2 IPS |
|
|
Text Classification (F32)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (F16)
|
100% |
741
1.07 KIPS |
|
|
Text Classification (I8)
|
98% |
395
567.2 IPS |
|
|
Machine Translation (F32)
|
100% |
926
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (I8)
|
70% |
480
8.84 IPS |
