LENOVO 21KDSCGD00
Geekbench AI Score
1350
Single Precision Score
1326
Half Precision Score
925
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 24 2024 09:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | LENOVO 21KDSCGD00 |
| Motherboard | LENOVO 21KDSCGD00 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1136
211.3 IPS |
|
|
Image Classification (HP)
|
100% |
1165
216.6 IPS |
|
|
Image Classification (Q)
|
99% |
759
141.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
818
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1314
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1310
1.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
1534
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (HP)
|
100% |
1120
88.8 IPS |
|
|
Object Detection (Q)
|
85% |
516
41.5 IPS |
|
|
Face Detection (SP)
|
100% |
2140
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2080
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
1646
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1393
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1360
10.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1195
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2149
2.76 IPS |
|
|
Style Transfer (HP)
|
100% |
2223
2.86 IPS |
|
|
Style Transfer (Q)
|
98% |
3289
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
860
31.9 IPS |
|
|
Text Classification (SP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
92% |
442
594.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (Q)
|
58% |
381
8.95 IPS |
