Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
6588
Single Precision Score
12743
Half Precision Score
4426
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jason-stiff |
| Upload Date | February 28 2025 05:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2999
557.8 IPS |
|
|
Image Classification (HP)
|
100% |
3821
710.5 IPS |
|
|
Image Classification (Q)
|
100% |
2720
505.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6226
100.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11392
184.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4348
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15654
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
76216
88.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12402
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
3880
307.8 IPS |
|
|
Object Detection (HP)
|
100% |
6024
477.8 IPS |
|
|
Object Detection (Q)
|
88% |
3901
312.9 IPS |
|
|
Face Detection (SP)
|
100% |
8508
101.1 IPS |
|
|
Face Detection (HP)
|
100% |
17746
210.9 IPS |
|
|
Face Detection (Q)
|
97% |
6332
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17348
133.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34205
263.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
10452
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36329
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
139156
178.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30672
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6761
249.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19554
722.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4482
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (Q)
|
97% |
498
667.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2288
39.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1115
20.9 IPS |
