LENOVO 21G3ZC1WUS
Geekbench AI Score
2892
Single Precision Score
2930
Half Precision Score
7134
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 01:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21G3ZC1WUS |
| Motherboard | LENOVO 21G3ZC1WUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1624
302.0 IPS |
|
|
Image Classification (HP)
|
100% |
1600
297.5 IPS |
|
|
Image Classification (Q)
|
100% |
4703
874.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5282
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4222
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3884
4.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
14009
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (Q)
|
88% |
4571
366.4 IPS |
|
|
Face Detection (SP)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
4774
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
10071
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4328
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4393
33.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11557
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11633
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11833
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36975
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7333
271.6 IPS |
|
|
Text Classification (SP)
|
100% |
1847
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (Q)
|
92% |
3246
4.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2048
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2097
36.1 IPS |
