LENOVO 83JL
Geekbench AI Score
6947
Single Precision Score
10338
Half Precision Score
5334
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 31 2025 07:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83JL |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 H 350 w/ Radeon 860M |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
3781
703.2 IPS |
|
|
Image Classification (Q)
|
100% |
1941
360.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4152
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3987
64.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3458
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
35925
41.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
65864
76.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
28437
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (HP)
|
100% |
2737
217.1 IPS |
|
|
Object Detection (Q)
|
87% |
2094
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
6965
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
10337
122.8 IPS |
|
|
Face Detection (Q)
|
97% |
5631
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15326
118.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20701
159.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12031
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56710
72.9 IPS |
|
|
Style Transfer (HP)
|
100% |
93837
120.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43722
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9419
347.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20678
763.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6657
246.5 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3083
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1673
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4011
69.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1415
26.5 IPS |
