Intel Corporation Meteor Lake Client Platform
Geekbench AI Score
4141
Single Precision Score
6592
Half Precision Score
10123
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 11 2024 02:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2850
530.1 IPS |
|
|
Image Classification (HP)
|
100% |
4374
813.4 IPS |
|
|
Image Classification (Q)
|
100% |
5702
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5406
87.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8129
131.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10243
12.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
9460
11.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
28872
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
4175
331.2 IPS |
|
|
Object Detection (Q)
|
88% |
6896
552.6 IPS |
|
|
Face Detection (SP)
|
100% |
4432
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
9362
111.2 IPS |
|
|
Face Detection (Q)
|
100% |
16610
197.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9498
73.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
17054
131.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
21545
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23200
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32437
41.7 IPS |
|
|
Style Transfer (Q)
|
98% |
70414
90.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7429
274.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11804
437.2 IPS |
|
|
Text Classification (SP)
|
71% |
1546
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
2114
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2182
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2042
35.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1888
32.5 IPS |
