LENOVO 20NX000EMC
Geekbench AI Score
1538
Single Precision Score
490
Half Precision Score
2175
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 11:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1069
198.7 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (Q)
|
94% |
1855
346.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1247
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2419
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1789
2.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
3813
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (Q)
|
58% |
1242
135.7 IPS |
|
|
Face Detection (SP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
261
3.10 IPS |
|
|
Face Detection (Q)
|
96% |
3933
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2712
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
671
5.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
3971
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5772
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
4394
5.65 IPS |
|
|
Style Transfer (Q)
|
87% |
6963
9.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1093
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1477
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
397
529.6 IPS |
|
|
Text Classification (Q)
|
97% |
1002
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (Q)
|
68% |
1344
26.0 IPS |
