LENOVO ThinkPad E14 Gen6 AMD LENOVO 21M3S05H00
Geekbench AI Score
2019
Single Precision Score
2040
Half Precision Score
1226
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | tlmiller76 |
| Upload Date | August 06 2025 03:07 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7735U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| 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 | 61.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
1660
308.7 IPS |
|
|
Image Classification (Q)
|
99% |
895
166.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
905
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2201
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
2227
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
100% |
1660
131.6 IPS |
|
|
Object Detection (Q)
|
85% |
792
63.8 IPS |
|
|
Face Detection (SP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
1971
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2218
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2221
17.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1579
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2673
3.44 IPS |
|
|
Style Transfer (HP)
|
100% |
2662
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
4330
5.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1207
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
1875
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1875
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
622
835.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2211
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (Q)
|
58% |
533
12.5 IPS |
