LENOVO 83JR
Geekbench AI Score
3476
Single Precision Score
1724
Half Precision Score
7412
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 25 2025 03:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JR |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2300
427.8 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (Q)
|
99% |
7224
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3413
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5333
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4425
5.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
20922
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (HP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (Q)
|
86% |
7706
619.3 IPS |
|
|
Face Detection (SP)
|
100% |
4841
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
10386
123.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7420
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2787
21.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16030
127.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13098
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10964
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27040
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2414
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3867
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2073
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2398
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3492
70.2 IPS |
