LENOVO ThinkPad E14 Gen6 AMD LENOVO 21M3S05H00
Geekbench AI Score
2038
Single Precision Score
2042
Half Precision Score
1227
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | February 15 2025 04:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7735U |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (KDE Plasma) |
| Model | LENOVO 21M3S05H00 |
| Motherboard | LENOVO 21M3S05H00 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 4.82 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (HP)
|
100% |
1613
299.9 IPS |
|
|
Image Classification (Q)
|
99% |
894
166.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
909
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2188
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2193
2.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
2229
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
1627
129.1 IPS |
|
|
Object Detection (HP)
|
100% |
1651
131.0 IPS |
|
|
Object Detection (Q)
|
85% |
787
63.3 IPS |
|
|
Face Detection (SP)
|
100% |
2389
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
1963
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2241
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2271
17.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1571
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2690
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
2691
3.46 IPS |
|
|
Style Transfer (Q)
|
98% |
4317
5.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1208
44.8 IPS |
|
|
Text Classification (SP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1880
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
636
853.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (Q)
|
58% |
532
12.5 IPS |
