Notebook L2x0LUx
Geekbench AI Score
2831
Single Precision Score
2843
Half Precision Score
7098
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 12:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Notebook L2x0LUx |
| Motherboard | Notebook L2x0LUx |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| 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% |
1827
339.7 IPS |
|
|
Image Classification (HP)
|
100% |
1883
350.2 IPS |
|
|
Image Classification (Q)
|
100% |
4851
902.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3952
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3119
3.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
12306
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
100% |
1781
141.2 IPS |
|
|
Object Detection (Q)
|
88% |
5003
401.0 IPS |
|
|
Face Detection (SP)
|
100% |
5020
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
5120
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
11996
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4392
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4529
34.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
12326
95.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9539
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9314
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34865
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1995
73.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7198
266.6 IPS |
|
|
Text Classification (SP)
|
100% |
1914
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1851
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
3486
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2170
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2128
36.7 IPS |
