LENOVO 21SCCTO1WW
Geekbench AI Score
71
Single Precision Score
70
Half Precision Score
48
Quantized Score
Geekbench AI 1.7.0 for Linux x86 (64-bit)
Result Information
| User | AndreNijman |
| Upload Date | February 22 2026 03:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 250 |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 21SCCTO1WW |
| Motherboard | LENOVO 21SCCTO1WW |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 250 |
| 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 | 29.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
41
7.69 IPS |
|
|
Image Classification (HP)
|
100% |
41
7.68 IPS |
|
|
Image Classification (Q)
|
97% |
30
5.52 IPS |
|
|
Image Segmentation (SP)
|
100% |
56
0.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
56
0.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
40
0.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
65
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
65
0.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
48
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
40
3.14 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.13 IPS |
|
|
Object Detection (Q)
|
87% |
28
2.28 IPS |
|
|
Face Detection (SP)
|
100% |
132
1.57 IPS |
|
|
Face Detection (HP)
|
100% |
132
1.57 IPS |
|
|
Face Detection (Q)
|
97% |
96
1.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
95
0.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
94
0.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
58
0.53 IPS |
|
|
Style Transfer (SP)
|
100% |
196
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
196
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
145
0.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42
1.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42
1.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
30
1.12 IPS |
|
|
Text Classification (SP)
|
100% |
55
73.7 IPS |
|
|
Text Classification (HP)
|
100% |
54
72.6 IPS |
|
|
Text Classification (Q)
|
91% |
38
50.4 IPS |
|
|
Machine Translation (SP)
|
100% |
98
1.69 IPS |
|
|
Machine Translation (HP)
|
100% |
98
1.68 IPS |
|
|
Machine Translation (Q)
|
58% |
47
1.13 IPS |
