LENOVO 21K9CTO1WW
Geekbench AI Score
2260
Single Precision Score
2270
Half Precision Score
1628
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | jtotzpr |
| Upload Date | December 08 2025 03:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | LENOVO 21K9CTO1WW |
| Motherboard | LENOVO 21K9CTO1WW |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1688
313.9 IPS |
|
|
Image Classification (HP)
|
100% |
1689
314.1 IPS |
|
|
Image Classification (Q)
|
99% |
1283
239.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1097
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2624
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2609
3.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
3273
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (Q)
|
85% |
1121
90.2 IPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
2417
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2681
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2700
20.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2032
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3004
3.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3020
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
5816
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1589
58.9 IPS |
|
|
Text Classification (SP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2003
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2642
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2615
45.0 IPS |
|
|
Machine Translation (Q)
|
58% |
647
15.2 IPS |
