LENOVO 21QNCTO1WW
Geekbench AI Score
2499
Single Precision Score
2496
Half Precision Score
1691
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 17 2025 12:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 21QNCTO1WW |
| Motherboard | LENOVO 21QNCTO1WW |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1753
326.1 IPS |
|
|
Image Classification (HP)
|
100% |
1761
327.5 IPS |
|
|
Image Classification (Q)
|
99% |
1251
233.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1155
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2768
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2713
3.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
3137
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (Q)
|
85% |
1185
95.4 IPS |
|
|
Face Detection (SP)
|
100% |
3381
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3421
40.6 IPS |
|
|
Face Detection (Q)
|
97% |
2711
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3068
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3079
23.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2214
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3900
5.01 IPS |
|
|
Style Transfer (HP)
|
100% |
3937
5.06 IPS |
|
|
Style Transfer (Q)
|
98% |
6040
7.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1763
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (Q)
|
58% |
734
17.2 IPS |
