Microsoft Corporation Surface Laptop Studio 2
Geekbench AI Score
3564
Single Precision Score
3545
Half Precision Score
8393
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | December 21 2024 07:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (HP)
|
100% |
1627
302.5 IPS |
|
|
Image Classification (Q)
|
100% |
5581
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2960
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5701
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4476
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4439
5.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
15745
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
100% |
2208
175.1 IPS |
|
|
Object Detection (Q)
|
88% |
4025
322.7 IPS |
|
|
Face Detection (SP)
|
100% |
4578
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
4228
50.2 IPS |
|
|
Face Detection (Q)
|
100% |
10251
121.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4852
37.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
14583
113.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13142
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13480
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
43883
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2728
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2825
104.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9138
338.4 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3454
59.5 IPS |
