Notebook L2x0LUx
Geekbench AI Score
17573
Single Precision Score
17822
Half Precision Score
23830
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:12 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% |
11492
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
11515
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
17531
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4257
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4412
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6417
104.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
97008
113.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
97867
114.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
197812
231.7 IPS |
|
|
Object Detection (SP)
|
98% |
13553
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
13583
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
18017
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
25683
305.2 IPS |
|
|
Face Detection (HP)
|
100% |
25330
301.0 IPS |
|
|
Face Detection (Q)
|
100% |
44857
533.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
65320
503.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
65762
506.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
95170
753.9 IPS |
|
|
Style Transfer (SP)
|
100% |
216381
278.2 IPS |
|
|
Style Transfer (HP)
|
100% |
208205
267.7 IPS |
|
|
Style Transfer (Q)
|
98% |
271094
349.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25621
946.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28734
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34188
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2067
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (Q)
|
89% |
1801
31.3 IPS |
