LENOVO 20NX000EMC
Geekbench AI Score
992
Single Precision Score
984
Half Precision Score
551
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | September 02 2025 04:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8565U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (HP)
|
100% |
814
151.5 IPS |
|
|
Image Classification (Q)
|
99% |
420
78.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
447
7.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1187
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
906
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.3 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.4 IPS |
|
|
Object Detection (Q)
|
85% |
369
29.7 IPS |
|
|
Face Detection (SP)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1220
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
793
9.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
1169
9.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1151
8.87 IPS |
|
|
Depth Estimation (Q)
|
63% |
721
6.76 IPS |
|
|
Style Transfer (SP)
|
100% |
1578
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
1573
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1928
2.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
514
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
293
393.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (Q)
|
58% |
248
5.82 IPS |
