LENOVO 20NX000EMC
Geekbench AI Score
1039
Single Precision Score
1043
Half Precision Score
597
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 11:17 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8565U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | LENOVO 20NX000EMC |
| Motherboard | LENOVO 20NX000EMC |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8565U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
812
150.9 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
99% |
445
83.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
941
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
502
8.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1080
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
999
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (HP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
85% |
404
32.5 IPS |
|
|
Face Detection (SP)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1305
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
845
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1252
9.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
1240
9.55 IPS |
|
|
Depth Estimation (Q)
|
63% |
793
7.44 IPS |
|
|
Style Transfer (SP)
|
100% |
1670
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
1670
2.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2097
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
720
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
552
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (Q)
|
92% |
306
410.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (Q)
|
58% |
273
6.42 IPS |
