LENOVO 83E1
Geekbench AI Score
4450
Single Precision Score
4435
Half Precision Score
12762
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | wishindo |
| Upload Date | September 25 2024 10:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2989
555.9 IPS |
|
|
Image Classification (HP)
|
100% |
3012
560.1 IPS |
|
|
Image Classification (Q)
|
100% |
9102
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6328
102.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6125
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6181
7.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
25161
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2557
202.8 IPS |
|
|
Object Detection (HP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (Q)
|
88% |
9186
736.4 IPS |
|
|
Face Detection (SP)
|
100% |
5900
70.1 IPS |
|
|
Face Detection (HP)
|
100% |
5859
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
21148
251.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6399
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6460
49.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
23530
183.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16796
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16170
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
62666
80.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3386
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3251
120.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12952
479.7 IPS |
|
|
Text Classification (SP)
|
100% |
3121
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (Q)
|
92% |
5326
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3246
55.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4003
68.9 IPS |
