LENOVO 83AA
Geekbench AI Score
2245
Single Precision Score
2224
Half Precision Score
1630
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | PetrBalvin |
| Upload Date | August 16 2024 09:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840S with Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | LENOVO 83AA |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840S with Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.29 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1733
322.4 IPS |
|
|
Image Classification (HP)
|
100% |
1649
306.6 IPS |
|
|
Image Classification (Q)
|
99% |
1271
237.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1130
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2565
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2559
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
3272
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (Q)
|
86% |
1188
95.6 IPS |
|
|
Face Detection (SP)
|
100% |
2856
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (Q)
|
97% |
2446
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2744
21.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
2677
20.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
2236
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3189
4.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3127
4.02 IPS |
|
|
Style Transfer (Q)
|
98% |
5336
6.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1545
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1540
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
1742
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
830
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2425
41.8 IPS |
|
|
Machine Translation (Q)
|
58% |
637
15.0 IPS |
