LENOVO 21T0CTO1WW
Geekbench AI Score
1866
Single Precision Score
1873
Half Precision Score
1422
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 10 2025 04:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 250 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | LENOVO 21T0CTO1WW |
| Motherboard | LENOVO 21T0CTO1WW |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 250 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (Q)
|
99% |
1132
211.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1038
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2180
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2218
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
2646
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (Q)
|
85% |
994
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
2310
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
2184
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2303
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2302
17.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1769
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2774
3.57 IPS |
|
|
Style Transfer (HP)
|
100% |
2764
3.55 IPS |
|
|
Style Transfer (Q)
|
98% |
4833
6.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1394
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2035
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1955
33.7 IPS |
|
|
Machine Translation (Q)
|
58% |
546
12.8 IPS |
