Microsoft Corporation Surface Laptop Studio 2
Geekbench ML Score
610
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 27 2024 04:50 AM |
| Views | 2 |
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 | 64.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
310
58.1 IPS |
|
|
Image Classification (F16)
|
100% |
303
56.7 IPS |
|
|
Image Classification (I8)
|
100% |
241
45.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
473
7.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
484
8.08 IPS |
|
|
Image Segmentation (I8)
|
98% |
335
5.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
2743
3.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
2707
3.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
1278
1.55 IPS |
|
|
Object Detection (F32)
|
100% |
364
27.2 IPS |
|
|
Object Detection (F16)
|
100% |
348
26.0 IPS |
|
|
Object Detection (I8)
|
54% |
303
22.7 IPS |
|
|
Face Detection (F32)
|
100% |
669
7.95 IPS |
|
|
Face Detection (F16)
|
100% |
673
8.00 IPS |
|
|
Face Detection (I8)
|
89% |
443
5.27 IPS |
|
|
Depth Estimation (F32)
|
100% |
1394
10.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1393
10.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
987
7.65 IPS |
|
|
Style Transfer (F32)
|
100% |
5755
7.57 IPS |
|
|
Style Transfer (F16)
|
100% |
5636
7.41 IPS |
|
|
Style Transfer (I8)
|
98% |
3643
4.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
881
31.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
859
30.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
354
12.6 IPS |
|
|
Text Classification (F32)
|
100% |
206
296.7 IPS |
|
|
Text Classification (F16)
|
100% |
191
275.2 IPS |
|
|
Text Classification (I8)
|
98% |
110
157.8 IPS |
|
|
Machine Translation (F32)
|
100% |
288
5.30 IPS |
|
|
Machine Translation (F16)
|
100% |
287
5.28 IPS |
|
|
Machine Translation (I8)
|
70% |
137
2.53 IPS |
