Notebook L2x0LUx
Geekbench AI Score
17775
Single Precision Score
16801
Half Precision Score
24847
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:22 AM |
| Views | 3 |
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% |
11760
2.19 KIPS |
|
|
Image Classification (HP)
|
100% |
7801
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
17358
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4205
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4294
69.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6493
105.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
99906
116.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
96897
113.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
191374
224.2 IPS |
|
|
Object Detection (SP)
|
98% |
13267
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
13351
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
17469
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
25150
298.8 IPS |
|
|
Face Detection (HP)
|
100% |
25548
303.6 IPS |
|
|
Face Detection (Q)
|
100% |
45673
542.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
66085
509.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
65021
501.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
94308
747.1 IPS |
|
|
Style Transfer (SP)
|
100% |
209779
269.7 IPS |
|
|
Style Transfer (HP)
|
100% |
218074
280.3 IPS |
|
|
Style Transfer (Q)
|
98% |
286722
369.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28300
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
24098
889.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
45371
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2366
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (Q)
|
89% |
1796
31.2 IPS |
