LENOVO 83JR
Geekbench AI Score
2357
Single Precision Score
2369
Half Precision Score
6580
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 12:12 AM |
| Views | 2 |
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% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (Q)
|
100% |
4495
835.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5056
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3012
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
9944
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
100% |
1293
102.5 IPS |
|
|
Object Detection (Q)
|
88% |
3808
305.2 IPS |
|
|
Face Detection (SP)
|
100% |
3792
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (Q)
|
100% |
11230
133.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3434
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3881
29.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
11117
86.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7639
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
7913
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30039
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4901
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
3229
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2979
51.3 IPS |
