LENOVO 21DC003YUS
Geekbench AI Score
2241
Single Precision Score
2192
Half Precision Score
1359
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | stalbaum |
| Upload Date | January 17 2026 10:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-12800H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | LENOVO 21DC003YUS |
| Motherboard | LENOVO 21DC003YUS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
1663
309.2 IPS |
|
|
Image Classification (Q)
|
99% |
1119
208.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1061
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3087
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
2820
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (Q)
|
85% |
997
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (Q)
|
97% |
2170
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2731
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2753
21.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1770
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3852
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3839
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
5441
7.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1556
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1366
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
1226
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1257
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
418
561.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2352
40.5 IPS |
|
|
Machine Translation (Q)
|
58% |
542
12.7 IPS |
