LENOVO 83E1
Geekbench AI Score
1801
Single Precision Score
1798
Half Precision Score
1333
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | wishindo |
| Upload Date | September 25 2024 10:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Z1 Extreme |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40.20240605.0 (Bazzite) |
| Model | LENOVO 83E1 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z1 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.29 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1514
281.5 IPS |
|
|
Image Classification (HP)
|
100% |
1515
281.8 IPS |
|
|
Image Classification (Q)
|
99% |
1229
229.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1110
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2051
2.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
2399
2.81 IPS |
|
|
Object Detection (SP)
|
100% |
1234
97.9 IPS |
|
|
Object Detection (HP)
|
100% |
1260
100.0 IPS |
|
|
Object Detection (Q)
|
85% |
851
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
2098
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2087
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
1935
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2028
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2046
15.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1560
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2448
3.15 IPS |
|
|
Style Transfer (HP)
|
100% |
2441
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4398
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1233
45.7 IPS |
|
|
Text Classification (SP)
|
100% |
1822
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
706
948.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (Q)
|
58% |
553
13.0 IPS |
