LENOVO 21MC0019PB
Geekbench AI Score
2417
Single Precision Score
2416
Half Precision Score
1682
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | lilPostman |
| Upload Date | October 21 2025 10:15 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Adams) |
| Model | LENOVO 21MC0019PB |
| Motherboard | LENOVO 21MC0019PB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8840U 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 | 29.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1828
340.0 IPS |
|
|
Image Classification (HP)
|
100% |
1854
344.8 IPS |
|
|
Image Classification (Q)
|
99% |
1373
256.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1160
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2734
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2603
3.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
3127
3.66 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (Q)
|
85% |
1154
92.9 IPS |
|
|
Face Detection (SP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (Q)
|
97% |
2645
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2857
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2856
22.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2045
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3312
4.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3329
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
5802
7.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1586
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
908
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3054
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3037
52.3 IPS |
|
|
Machine Translation (Q)
|
58% |
700
16.4 IPS |
