Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
3245
Single Precision Score
2202
Half Precision Score
8428
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danilonc |
| Upload Date | June 27 2025 07:49 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1896
352.6 IPS |
|
|
Image Classification (HP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (Q)
|
100% |
5306
986.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5095
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3446
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2280
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
13186
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1879
149.0 IPS |
|
|
Object Detection (HP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (Q)
|
88% |
5478
439.1 IPS |
|
|
Face Detection (SP)
|
100% |
5761
68.5 IPS |
|
|
Face Detection (HP)
|
100% |
4349
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
13705
162.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4792
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3278
25.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14590
113.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10314
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6638
8.53 IPS |
|
|
Style Transfer (Q)
|
98% |
37480
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1477
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7786
288.4 IPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
4393
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2869
49.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3613
62.2 IPS |
