LENOVO 20NX000EMC
Geekbench AI Score
2090
Single Precision Score
2087
Half Precision Score
3176
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 11:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8565U CPU @ 1.80GHz |
| 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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (Q)
|
100% |
2280
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2390
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2514
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2301
2.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
4227
4.96 IPS |
|
|
Object Detection (SP)
|
100% |
1143
90.7 IPS |
|
|
Object Detection (HP)
|
100% |
1176
93.3 IPS |
|
|
Object Detection (Q)
|
87% |
1946
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
2814
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
5134
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3107
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3107
23.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
5093
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6537
8.40 IPS |
|
|
Style Transfer (HP)
|
100% |
6494
8.35 IPS |
|
|
Style Transfer (Q)
|
98% |
12096
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2557
94.7 IPS |
|
|
Text Classification (SP)
|
100% |
1508
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (Q)
|
91% |
1290
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2287
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2267
39.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2236
38.5 IPS |
