LENOVO 21KWZC45US
Geekbench AI Score
2227
Single Precision Score
2303
Half Precision Score
5270
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 08:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWZC45US |
| Motherboard | LENOVO 21KWZC45US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
775
144.2 IPS |
|
|
Image Classification (HP)
|
100% |
1136
211.3 IPS |
|
|
Image Classification (Q)
|
100% |
3707
689.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3511
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3950
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3774
4.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
12893
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.8 IPS |
|
|
Object Detection (HP)
|
100% |
1201
95.3 IPS |
|
|
Object Detection (Q)
|
88% |
2815
225.7 IPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (Q)
|
100% |
7193
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3589
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3487
26.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
8355
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8909
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9119
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27235
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5087
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2207
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1905
32.8 IPS |
