LENOVO ThinkPad P14s Gen4 AMD LENOVO 21K5CTO1WW
Geekbench AI Score
2228
Single Precision Score
2237
Half Precision Score
1666
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | tlmiller76 |
| Upload Date | August 06 2025 03:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | LENOVO 21K5CTO1WW |
| Motherboard | LENOVO 21K5CTO1WW |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 58.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1701
316.3 IPS |
|
|
Image Classification (HP)
|
100% |
1705
317.0 IPS |
|
|
Image Classification (Q)
|
99% |
1309
244.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1168
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2350
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
3307
3.87 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (Q)
|
85% |
1135
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
2515
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2624
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2636
20.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2057
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2929
3.77 IPS |
|
|
Style Transfer (HP)
|
100% |
2933
3.77 IPS |
|
|
Style Transfer (Q)
|
98% |
5878
7.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1593
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2637
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2649
45.6 IPS |
|
|
Machine Translation (Q)
|
58% |
689
16.2 IPS |
