LENOVO 83JY
Geekbench AI Score
2866
Single Precision Score
1609
Half Precision Score
7166
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 24 2025 12:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 5 340 w/ Radeon 840M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 5 340 w/ Radeon 840M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2208
410.6 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (Q)
|
99% |
6242
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7481
121.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4207
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3588
4.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
17325
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2199
174.4 IPS |
|
|
Object Detection (HP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (Q)
|
86% |
6500
522.4 IPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
9380
111.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5828
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2347
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13339
106.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9323
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7596
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
19286
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3992
147.8 IPS |
|
|
Text Classification (SP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2215
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3685
74.1 IPS |
