Microsoft Corporation Surface Laptop Studio
Geekbench ML Score
2273
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 01:58 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio |
| Motherboard | Microsoft Corporation Surface Laptop Studio |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11370H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1139
213.1 IPS |
|
|
Image Classification (F16)
|
100% |
1144
214.1 IPS |
|
|
Image Classification (I8)
|
100% |
912
170.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1727
28.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1761
29.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1279
21.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
11500
13.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
11436
13.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
5651
6.84 IPS |
|
|
Object Detection (F32)
|
100% |
571
42.6 IPS |
|
|
Object Detection (F16)
|
100% |
1165
87.0 IPS |
|
|
Object Detection (I8)
|
54% |
996
74.4 IPS |
|
|
Face Detection (F32)
|
100% |
2672
31.8 IPS |
|
|
Face Detection (F16)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (I8)
|
89% |
1761
20.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5533
42.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5543
43.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
3955
30.7 IPS |
|
|
Style Transfer (F32)
|
100% |
24241
31.9 IPS |
|
|
Style Transfer (F16)
|
100% |
24838
32.7 IPS |
|
|
Style Transfer (I8)
|
98% |
15259
20.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3355
119.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3410
121.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1458
52.1 IPS |
|
|
Text Classification (F32)
|
100% |
754
1.08 KIPS |
|
|
Text Classification (F16)
|
100% |
794
1.14 KIPS |
|
|
Text Classification (I8)
|
98% |
409
587.9 IPS |
|
|
Machine Translation (F32)
|
100% |
897
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
896
16.5 IPS |
|
|
Machine Translation (I8)
|
70% |
478
8.80 IPS |
