Microsoft Corporation Surface Laptop Studio
Geekbench AI Score
1990
Single Precision Score
941
Half Precision Score
3988
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | blerd_ette |
| Upload Date | June 22 2025 12:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11370H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Laptop Studio |
| Motherboard | Microsoft Corporation Surface Laptop Studio |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11370H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.9 IPS |
|
|
Image Classification (Q)
|
99% |
3695
689.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
2065
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2944
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2429
2.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
10729
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (Q)
|
86% |
3576
287.4 IPS |
|
|
Face Detection (SP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
1031
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
5827
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3845
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1277
9.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
7262
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6522
8.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5657
7.27 IPS |
|
|
Style Transfer (Q)
|
98% |
14299
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1515
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1268
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2529
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
521
695.9 IPS |
|
|
Text Classification (Q)
|
97% |
1207
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (Q)
|
65% |
1886
37.9 IPS |
