LENOVO 83JK
Geekbench AI Score
3427
Single Precision Score
1460
Half Precision Score
6320
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Igniter01 |
| Upload Date | June 13 2025 01:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2771
515.4 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.3 IPS |
|
|
Image Classification (Q)
|
99% |
6478
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3173
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4549
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2726
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
13202
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (Q)
|
86% |
5107
410.4 IPS |
|
|
Face Detection (SP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
8931
106.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7483
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1986
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15321
122.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14433
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11417
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21889
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2786
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1997
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3731
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1770
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2134
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3711
74.6 IPS |
