LENOVO 82EY
Geekbench AI Score
884
Single Precision Score
867
Half Precision Score
709
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | salichani |
| Upload Date | October 26 2025 07:48 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 4600H |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | LENOVO 82EY |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 22.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (Q)
|
99% |
407
75.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1218
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1212
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1230
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
85% |
484
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
1153
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1056
8.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
1099
8.47 IPS |
|
|
Depth Estimation (Q)
|
63% |
899
8.43 IPS |
|
|
Style Transfer (SP)
|
100% |
1432
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
1431
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
2400
3.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
752
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (Q)
|
92% |
393
527.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
58% |
350
8.22 IPS |
