LENOVO 83JU
Geekbench AI Score
2960
Single Precision Score
1423
Half Precision Score
6982
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Esseboy |
| Upload Date | June 21 2025 10:48 AM |
| Views | 9 |
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 83JU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (Q)
|
99% |
7214
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
911
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3565
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3843
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3221
3.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
18881
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (Q)
|
86% |
7170
576.2 IPS |
|
|
Face Detection (SP)
|
100% |
4996
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
9371
111.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5879
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2127
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14644
116.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9895
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8279
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25091
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3537
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
1952
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1976
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3290
66.1 IPS |
