LENOVO 83JR
Geekbench AI Score
2498
Single Precision Score
2479
Half Precision Score
7042
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 12:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.3 IPS |
|
|
Image Classification (Q)
|
100% |
4428
823.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1792
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4612
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2835
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
11651
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
100% |
1418
112.4 IPS |
|
|
Object Detection (Q)
|
88% |
4358
349.4 IPS |
|
|
Face Detection (SP)
|
100% |
4124
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
4085
48.5 IPS |
|
|
Face Detection (Q)
|
100% |
10469
124.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3858
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3843
29.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
11947
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8011
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8562
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28631
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6357
235.4 IPS |
|
|
Text Classification (SP)
|
100% |
1852
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
3535
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2350
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3598
62.0 IPS |
