Notebook L2x0LUx
Geekbench AI Score
17301
Single Precision Score
16765
Half Precision Score
23864
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Notebook L2x0LUx |
| Motherboard | Notebook L2x0LUx |
| Power Plan | Balanced |
| 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% |
11628
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
9627
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
17374
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4289
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4343
70.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6426
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
96041
112.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
94369
110.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
188009
220.2 IPS |
|
|
Object Detection (SP)
|
98% |
13405
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
11918
945.4 IPS |
|
|
Object Detection (Q)
|
87% |
17737
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
23868
283.6 IPS |
|
|
Face Detection (HP)
|
100% |
23854
283.4 IPS |
|
|
Face Detection (Q)
|
100% |
45994
546.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
66484
512.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
65894
507.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
97298
770.8 IPS |
|
|
Style Transfer (SP)
|
100% |
207570
266.8 IPS |
|
|
Style Transfer (HP)
|
100% |
218586
281.0 IPS |
|
|
Style Transfer (Q)
|
98% |
271964
350.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25285
933.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24027
887.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34766
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2027
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
2106
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (Q)
|
89% |
1806
31.4 IPS |
