LENOVO 21QJCTO1WW
Geekbench AI Score
2454
Single Precision Score
2458
Half Precision Score
1692
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | r1348 |
| Upload Date | January 07 2026 05:01 PM |
| 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% |
1766
328.5 IPS |
|
|
Image Classification (HP)
|
100% |
1790
332.8 IPS |
|
|
Image Classification (Q)
|
99% |
1245
232.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1158
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2664
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2596
3.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
3108
3.64 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (Q)
|
85% |
1048
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (Q)
|
97% |
2681
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3033
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3049
23.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2202
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3775
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3832
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
6001
7.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1928
71.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1752
64.9 IPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
930
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3231
55.6 IPS |
|
|
Machine Translation (Q)
|
58% |
713
16.7 IPS |
