LENOVO 12RQCTO1WW
Geekbench AI Score
2451
Single Precision Score
2473
Half Precision Score
1700
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 25 2025 12:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8700GE w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | LENOVO 12RQCTO1WW |
| Motherboard | LENOVO 334A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8700GE w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1727
321.2 IPS |
|
|
Image Classification (HP)
|
100% |
1734
322.4 IPS |
|
|
Image Classification (Q)
|
99% |
1322
246.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2563
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2560
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1162
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3056
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3025
3.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
3484
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (Q)
|
85% |
1162
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (Q)
|
97% |
2624
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3051
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3074
23.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2059
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3610
4.64 IPS |
|
|
Style Transfer (HP)
|
100% |
3695
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6135
7.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1759
64.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1636
60.6 IPS |
|
|
Text Classification (SP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2043
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
888
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (Q)
|
58% |
677
15.9 IPS |
