LENOVO ThinkPad P14s Gen5 AMD LENOVO 21ME001MUS
Geekbench AI Score
2489
Single Precision Score
2503
Half Precision Score
1744
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | tlmiller76 |
| Upload Date | August 07 2025 12:08 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (KDE Plasma Desktop Edition) |
| 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% |
1853
344.5 IPS |
|
|
Image Classification (HP)
|
100% |
1866
347.0 IPS |
|
|
Image Classification (Q)
|
99% |
1394
259.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1198
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2710
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2773
3.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
3420
4.01 IPS |
|
|
Object Detection (SP)
|
100% |
1955
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (Q)
|
85% |
1202
96.7 IPS |
|
|
Face Detection (SP)
|
100% |
3084
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (Q)
|
97% |
2663
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3066
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3051
23.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2161
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3112
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3120
4.01 IPS |
|
|
Style Transfer (Q)
|
98% |
6213
8.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1870
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1695
62.8 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2139
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
909
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (Q)
|
58% |
690
16.2 IPS |
