LENOVO 83E1
Geekbench AI Score
6920
Single Precision Score
8833
Half Precision Score
5363
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dr3d |
| Upload Date | December 26 2024 01:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Graphics |
| 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% |
3033
564.1 IPS |
|
|
Image Classification (HP)
|
100% |
3842
714.6 IPS |
|
|
Image Classification (Q)
|
100% |
2833
526.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4284
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4238
68.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3454
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27292
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
47013
54.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
24362
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2841
225.4 IPS |
|
|
Object Detection (HP)
|
100% |
3423
271.5 IPS |
|
|
Object Detection (Q)
|
87% |
2628
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
9697
115.2 IPS |
|
|
Face Detection (Q)
|
97% |
5502
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16702
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21803
168.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13571
108.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50211
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
84393
108.5 IPS |
|
|
Style Transfer (Q)
|
98% |
36055
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10889
402.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14742
544.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7927
293.5 IPS |
|
|
Text Classification (SP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1302
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1131
21.2 IPS |
