LENOVO 83JL
Geekbench AI Score
3852
Single Precision Score
2072
Half Precision Score
8914
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | leandrof |
| Upload Date | August 17 2025 04:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Bilanciato |
| 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% |
2974
553.0 IPS |
|
|
Image Classification (HP)
|
100% |
784
145.7 IPS |
|
|
Image Classification (Q)
|
99% |
8049
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9605
156.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5931
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5112
5.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
23745
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2889
229.1 IPS |
|
|
Object Detection (HP)
|
100% |
1033
81.9 IPS |
|
|
Object Detection (Q)
|
86% |
8013
644.0 IPS |
|
|
Face Detection (SP)
|
100% |
5778
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
10884
129.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7780
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3077
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17249
137.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14708
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12903
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31606
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2735
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2624
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5083
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2075
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3444
69.2 IPS |
