LENOVO 83HX
Geekbench AI Score
2179
Single Precision Score
1137
Half Precision Score
5210
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 04:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83HX |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1531
284.6 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.4 IPS |
|
|
Image Classification (Q)
|
99% |
4608
859.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
4954
80.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3239
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2983
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
13872
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.1 IPS |
|
|
Object Detection (Q)
|
86% |
4007
322.1 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
5739
68.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4423
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1715
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10194
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7780
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7949
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16978
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1434
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1204
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3374
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
693
924.5 IPS |
|
|
Text Classification (Q)
|
97% |
1377
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2521
50.7 IPS |
