LENOVO 83E1
Geekbench AI Score
1508
Single Precision Score
683
Half Precision Score
3313
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dr3d |
| Upload Date | December 26 2024 01:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Z1 Extreme |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83E1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Z1 Extreme |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
99% |
5107
952.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
2064
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3070
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1859
2.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
6928
8.12 IPS |
|
|
Object Detection (SP)
|
100% |
970
76.9 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
86% |
3474
279.2 IPS |
|
|
Face Detection (SP)
|
100% |
2454
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (Q)
|
97% |
5186
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2578
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
3908
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4445
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3476
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
10463
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
724
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1742
64.5 IPS |
|
|
Text Classification (SP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
441
588.6 IPS |
|
|
Text Classification (Q)
|
97% |
1084
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
65% |
1569
31.5 IPS |
