LENOVO 83JY
Geekbench AI Score
4958
Single Precision Score
6876
Half Precision Score
3984
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 02:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| 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% |
1934
359.7 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (Q)
|
100% |
1814
337.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3046
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2520
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17437
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33743
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
15550
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
2030
161.1 IPS |
|
|
Object Detection (Q)
|
87% |
1694
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
5595
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
8399
99.8 IPS |
|
|
Face Detection (Q)
|
97% |
4866
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10831
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14537
112.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
8946
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30074
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53206
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26757
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6302
232.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11302
417.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2637
3.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1136
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2614
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2797
48.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1265
23.7 IPS |
