LENOVO 21QJCTO1WW
Geekbench AI Score
2684
Single Precision Score
2660
Half Precision Score
1828
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | r1348 |
| Upload Date | December 02 2025 12:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | LENOVO 21QJCTO1WW |
| Motherboard | LENOVO 21QJCTO1WW |
| 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% |
2030
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
2057
382.5 IPS |
|
|
Image Classification (Q)
|
99% |
1378
257.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2577
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2594
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1232
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2998
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2748
3.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
3307
3.88 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (Q)
|
85% |
1222
98.4 IPS |
|
|
Face Detection (SP)
|
100% |
3440
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (Q)
|
97% |
2912
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3145
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3180
24.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2336
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3896
5.01 IPS |
|
|
Style Transfer (HP)
|
100% |
3915
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
6208
8.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1872
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
989
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3369
58.0 IPS |
|
|
Machine Translation (Q)
|
58% |
779
18.3 IPS |
