LENOVO 83E1
Geekbench AI Score
2184
Single Precision Score
723
Half Precision Score
3900
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | wishindo |
| Upload Date | September 25 2024 10:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1819
338.3 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.3 IPS |
|
|
Image Classification (Q)
|
97% |
4420
824.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
2615
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3476
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2948
3.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
17499
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1271
100.8 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
88% |
1292
103.5 IPS |
|
|
Face Detection (SP)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
321
3.81 IPS |
|
|
Face Detection (Q)
|
97% |
4165
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3585
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
848
6.54 IPS |
|
|
Depth Estimation (Q)
|
77% |
5539
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7242
9.31 IPS |
|
|
Style Transfer (HP)
|
100% |
9027
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15085
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1795
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2809
104.0 IPS |
|
|
Text Classification (SP)
|
100% |
1687
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
544
726.1 IPS |
|
|
Text Classification (Q)
|
97% |
1805
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1766
39.4 IPS |
