Microsoft Corporation Surface Laptop Studio 2
Geekbench ML Score
3186
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 06:58 AM |
| Views | 12 |
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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1625
304.1 IPS |
|
|
Image Classification (F16)
|
100% |
1578
295.3 IPS |
|
|
Image Classification (I8)
|
99% |
3050
570.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1399
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1513
25.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2609
43.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5592
6.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
5425
6.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
18372
22.2 IPS |
|
|
Object Detection (F32)
|
100% |
1617
120.8 IPS |
|
|
Object Detection (F16)
|
100% |
1595
119.1 IPS |
|
|
Object Detection (I8)
|
62% |
1486
110.9 IPS |
|
|
Face Detection (F32)
|
100% |
3126
37.2 IPS |
|
|
Face Detection (F16)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (I8)
|
89% |
3537
42.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6240
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6104
47.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
11161
86.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13322
17.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12490
16.4 IPS |
|
|
Style Transfer (I8)
|
98% |
18438
24.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2896
103.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2862
102.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3783
135.1 IPS |
|
|
Text Classification (F32)
|
100% |
1236
1.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1307
1.88 KIPS |
|
|
Text Classification (I8)
|
98% |
1069
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1500
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1501
27.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2449
45.1 IPS |
