Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
6588
Single Precision Score
12850
Half Precision Score
4513
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jason-stiff |
| Upload Date | February 28 2025 05:20 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% |
4227
786.1 IPS |
|
|
Image Classification (HP)
|
100% |
4434
824.5 IPS |
|
|
Image Classification (Q)
|
100% |
2571
478.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6300
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11118
180.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4295
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14428
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
88430
103.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13539
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
4027
319.4 IPS |
|
|
Object Detection (HP)
|
100% |
6036
478.7 IPS |
|
|
Object Detection (Q)
|
88% |
3305
265.0 IPS |
|
|
Face Detection (SP)
|
100% |
9203
109.4 IPS |
|
|
Face Detection (HP)
|
100% |
15965
189.7 IPS |
|
|
Face Detection (Q)
|
97% |
6143
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17228
132.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35342
272.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13140
105.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46394
59.6 IPS |
|
|
Style Transfer (HP)
|
100% |
152863
196.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30855
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6733
248.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15535
573.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4458
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
651
869.1 IPS |
|
|
Text Classification (HP)
|
100% |
1547
2.06 KIPS |
|
|
Text Classification (Q)
|
97% |
580
776.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2252
38.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1103
20.7 IPS |
