LENOVO 83AX
Geekbench AI Score
3169
Single Precision Score
1443
Half Precision Score
5184
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 05:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83AX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2888
537.1 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.7 IPS |
|
|
Image Classification (Q)
|
96% |
4742
885.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
5617
91.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4749
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4025
4.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
10436
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.4 IPS |
|
|
Object Detection (Q)
|
58% |
3226
352.5 IPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
1319
15.7 IPS |
|
|
Face Detection (Q)
|
96% |
7694
91.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7738
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2176
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9903
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12509
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10736
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
13967
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1935
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4326
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
2042
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1984
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2213
42.8 IPS |
