Notebook L2x0LUx
Geekbench AI Score
17523
Single Precision Score
17437
Half Precision Score
23526
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 05:33 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% |
11576
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
12023
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
17429
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4237
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4270
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6604
107.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
96021
112.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
96609
112.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
189209
221.6 IPS |
|
|
Object Detection (SP)
|
98% |
13593
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
13590
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
17651
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
25462
302.5 IPS |
|
|
Face Detection (HP)
|
100% |
24359
289.4 IPS |
|
|
Face Detection (Q)
|
100% |
43099
512.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
64846
499.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
65512
504.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
95524
756.7 IPS |
|
|
Style Transfer (SP)
|
100% |
210102
270.1 IPS |
|
|
Style Transfer (HP)
|
100% |
217111
279.1 IPS |
|
|
Style Transfer (Q)
|
98% |
266296
343.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28451
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
24306
897.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34233
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2038
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2003
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2013
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (Q)
|
89% |
1789
31.1 IPS |
