LENOVO 20Y10001CK
Geekbench AI Score
1027
Single Precision Score
1032
Half Precision Score
704
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | pikao |
| Upload Date | September 11 2025 07:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 4750U |
| System Information | |
|---|---|
| Operating System | Manjaro Linux |
| Model | LENOVO 20Y10001CK |
| Motherboard | LENOVO 20Y10001CK |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 4750U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
891
165.7 IPS |
|
|
Image Classification (HP)
|
100% |
870
161.7 IPS |
|
|
Image Classification (Q)
|
99% |
458
85.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
611
9.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
1278
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1275
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
1273
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
665
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
85% |
412
33.1 IPS |
|
|
Face Detection (SP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1167
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
1050
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1149
8.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
1161
8.95 IPS |
|
|
Depth Estimation (Q)
|
63% |
881
8.26 IPS |
|
|
Style Transfer (SP)
|
100% |
1615
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
1614
2.08 IPS |
|
|
Style Transfer (Q)
|
98% |
2467
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
692
25.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
692
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
383
514.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
58% |
338
7.94 IPS |
