LENOVO 21ME001MUS
Geekbench AI Score
2415
Single Precision Score
2427
Half Precision Score
1660
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | karthikm1024 |
| Upload Date | November 12 2025 10:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 21ME001MUS |
| Motherboard | LENOVO 21ME001MUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8840HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 58.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
1699
316.0 IPS |
|
|
Image Classification (Q)
|
99% |
1301
242.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1154
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2832
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
3304
3.87 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (Q)
|
85% |
1143
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2992
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
2485
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2886
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2904
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2072
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3681
4.73 IPS |
|
|
Style Transfer (HP)
|
100% |
3661
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
5877
7.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1600
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1999
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3061
52.7 IPS |
|
|
Machine Translation (Q)
|
58% |
671
15.7 IPS |
