Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
6504
Single Precision Score
13159
Half Precision Score
4603
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jason-stiff |
| Upload Date | February 28 2025 05:22 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% |
3403
632.8 IPS |
|
|
Image Classification (HP)
|
100% |
4423
822.6 IPS |
|
|
Image Classification (Q)
|
100% |
2240
416.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6224
100.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9810
159.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4457
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15767
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
77571
90.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11650
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
4098
325.1 IPS |
|
|
Object Detection (HP)
|
100% |
9025
715.9 IPS |
|
|
Object Detection (Q)
|
88% |
3295
264.3 IPS |
|
|
Face Detection (SP)
|
100% |
8491
100.9 IPS |
|
|
Face Detection (HP)
|
100% |
16047
190.7 IPS |
|
|
Face Detection (Q)
|
97% |
6379
76.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17330
133.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34014
262.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
13212
105.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40408
51.9 IPS |
|
|
Style Transfer (HP)
|
100% |
145197
186.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31480
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6785
250.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15457
570.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4949
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1812
2.42 KIPS |
|
|
Text Classification (Q)
|
97% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1129
21.2 IPS |
