LENOVO 83JR
Geekbench AI Score
3815
Single Precision Score
5670
Half Precision Score
3216
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 12:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| 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% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.3 IPS |
|
|
Image Classification (Q)
|
100% |
1594
296.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2688
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1937
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14838
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31749
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12794
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (Q)
|
87% |
1395
112.0 IPS |
|
|
Face Detection (SP)
|
100% |
3839
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7185
85.4 IPS |
|
|
Face Detection (Q)
|
97% |
3983
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6737
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12737
98.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7596
60.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28484
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43983
56.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22261
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5342
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10154
374.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3801
140.7 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (Q)
|
97% |
999
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (Q)
|
70% |
842
15.8 IPS |
