Intel Corporation Meteor Lake Client Platform
Geekbench AI Score
1704
Single Precision Score
6058
Half Precision Score
9459
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 02:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel Corporation Meteor Lake Client Platform |
| Motherboard | COMMELL LP-17B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) CoreTM Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1075
199.9 IPS |
|
|
Image Classification (HP)
|
100% |
4891
909.5 IPS |
|
|
Image Classification (Q)
|
100% |
6715
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2743
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2147
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
25786
30.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
58951
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
1082
85.8 IPS |
|
|
Object Detection (HP)
|
100% |
3648
289.4 IPS |
|
|
Object Detection (Q)
|
89% |
6517
522.0 IPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
8456
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
16569
196.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3236
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10981
84.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
21190
164.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5024
6.46 IPS |
|
|
Style Transfer (HP)
|
100% |
34675
44.6 IPS |
|
|
Style Transfer (Q)
|
98% |
64968
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9977
368.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16664
617.1 IPS |
|
|
Text Classification (SP)
|
100% |
553
738.4 IPS |
|
|
Text Classification (HP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1113
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1557
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1956
33.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1917
33.0 IPS |
