Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
2556
Single Precision Score
1309
Half Precision Score
5045
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danilonc |
| Upload Date | June 27 2025 07:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| 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 268V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1787
332.3 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.3 IPS |
|
|
Image Classification (Q)
|
99% |
4293
800.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2430
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3199
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2670
3.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
11770
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (Q)
|
86% |
4223
339.4 IPS |
|
|
Face Detection (SP)
|
100% |
5102
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
7013
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4501
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1918
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10306
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8030
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6617
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
17183
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3496
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
724
966.7 IPS |
|
|
Text Classification (Q)
|
97% |
1583
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2998
60.3 IPS |
