Microsoft Corporation Surface Laptop Studio 2
Geekbench ML Score
2373
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 01:56 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio 2 |
| Motherboard | Microsoft Corporation Surface Laptop Studio 2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1176
220.1 IPS |
|
|
Image Classification (F16)
|
100% |
1206
225.6 IPS |
|
|
Image Classification (I8)
|
100% |
955
178.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1810
30.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1953
32.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1353
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
12508
15.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12566
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
6319
7.65 IPS |
|
|
Object Detection (F32)
|
100% |
968
72.3 IPS |
|
|
Object Detection (F16)
|
100% |
984
73.5 IPS |
|
|
Object Detection (I8)
|
54% |
912
68.1 IPS |
|
|
Face Detection (F32)
|
100% |
2829
33.6 IPS |
|
|
Face Detection (F16)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (I8)
|
89% |
1924
22.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6049
46.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5957
46.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
4378
33.9 IPS |
|
|
Style Transfer (F32)
|
100% |
25880
34.0 IPS |
|
|
Style Transfer (F16)
|
100% |
25734
33.9 IPS |
|
|
Style Transfer (I8)
|
98% |
16976
22.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3534
126.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3571
127.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1575
56.3 IPS |
|
|
Text Classification (F32)
|
100% |
594
854.1 IPS |
|
|
Text Classification (F16)
|
100% |
713
1.03 KIPS |
|
|
Text Classification (I8)
|
98% |
406
583.0 IPS |
|
|
Machine Translation (F32)
|
100% |
830
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
834
15.3 IPS |
|
|
Machine Translation (I8)
|
70% |
508
9.34 IPS |
