Microsoft Corporation Surface Laptop Studio 2
Geekbench ML Score
1990
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 01:52 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
900
168.4 IPS |
|
|
Image Classification (F16)
|
100% |
983
184.0 IPS |
|
|
Image Classification (I8)
|
99% |
1676
313.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1571
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3210
3.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
3741
4.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
12333
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
1077
80.4 IPS |
|
|
Object Detection (F16)
|
100% |
1032
77.1 IPS |
|
|
Object Detection (I8)
|
62% |
913
68.2 IPS |
|
|
Face Detection (F32)
|
100% |
2006
23.9 IPS |
|
|
Face Detection (F16)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (I8)
|
89% |
2661
31.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3678
28.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3483
27.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
7603
59.0 IPS |
|
|
Style Transfer (F32)
|
100% |
7258
9.55 IPS |
|
|
Style Transfer (F16)
|
100% |
7324
9.63 IPS |
|
|
Style Transfer (I8)
|
98% |
15276
20.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1823
65.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1654
59.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2650
94.6 IPS |
|
|
Text Classification (F32)
|
100% |
847
1.22 KIPS |
|
|
Text Classification (F16)
|
100% |
929
1.34 KIPS |
|
|
Text Classification (I8)
|
98% |
302
433.7 IPS |
|
|
Machine Translation (F32)
|
100% |
975
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
994
18.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1454
26.8 IPS |
