LENOVO 83DD
Geekbench AI Score
2572
Single Precision Score
2575
Half Precision Score
1775
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | April 25 2025 01:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 83DD |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1853
344.5 IPS |
|
|
Image Classification (HP)
|
100% |
1913
355.7 IPS |
|
|
Image Classification (Q)
|
99% |
1429
266.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1220
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2939
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2922
3.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
3659
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
2047
162.3 IPS |
|
|
Object Detection (HP)
|
100% |
2059
163.4 IPS |
|
|
Object Detection (Q)
|
85% |
1232
99.2 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2712
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3055
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3057
23.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2204
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3548
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3432
4.41 IPS |
|
|
Style Transfer (Q)
|
98% |
6064
7.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1928
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1708
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
92% |
912
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (Q)
|
58% |
703
16.5 IPS |
