LENOVO 83JK
Geekbench AI Score
2445
Single Precision Score
2409
Half Precision Score
1727
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | goektug |
| Upload Date | September 20 2025 06:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (KDE Plasma Desktop Edition) |
| Model | LENOVO 83JK |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1908
354.8 IPS |
|
|
Image Classification (HP)
|
100% |
1911
355.5 IPS |
|
|
Image Classification (Q)
|
99% |
1240
231.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1248
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3058
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
4027
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (Q)
|
85% |
1228
98.9 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3337
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
2698
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2743
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2868
22.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2142
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3977
5.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3972
5.11 IPS |
|
|
Style Transfer (Q)
|
98% |
7030
9.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2232
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1807
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (Q)
|
92% |
687
922.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2568
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2588
44.6 IPS |
|
|
Machine Translation (Q)
|
58% |
612
14.4 IPS |
