Notebook L2x0LUx
Geekbench AI Score
17196
Single Precision Score
17148
Half Precision Score
23514
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 05:50 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% |
11374
2.12 KIPS |
|
|
Image Classification (HP)
|
100% |
11547
2.15 KIPS |
|
|
Image Classification (Q)
|
100% |
17184
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4116
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4711
76.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6450
104.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
95867
111.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
96783
112.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
186620
218.6 IPS |
|
|
Object Detection (SP)
|
98% |
13477
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
12986
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
17861
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
24228
287.9 IPS |
|
|
Face Detection (HP)
|
100% |
23561
280.0 IPS |
|
|
Face Detection (Q)
|
100% |
43461
516.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
65503
504.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
61451
473.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
95635
757.6 IPS |
|
|
Style Transfer (SP)
|
100% |
219852
282.6 IPS |
|
|
Style Transfer (HP)
|
100% |
214475
275.7 IPS |
|
|
Style Transfer (Q)
|
98% |
287961
371.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25013
923.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23796
878.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29760
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (Q)
|
92% |
2205
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
89% |
1781
31.0 IPS |
