LENOVO 83JT
Geekbench AI Score
1641
Single Precision Score
782
Half Precision Score
3229
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 02:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JT |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1559
290.0 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.2 IPS |
|
|
Image Classification (Q)
|
99% |
2896
540.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4798
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2969
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1956
2.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
10498
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1202
95.4 IPS |
|
|
Object Detection (HP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (Q)
|
86% |
2398
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
5151
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3610
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1227
9.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
6568
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5359
6.89 IPS |
|
|
Style Transfer (HP)
|
100% |
4837
6.22 IPS |
|
|
Style Transfer (Q)
|
98% |
10333
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1716
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.9 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.8 IPS |
|
|
Text Classification (Q)
|
97% |
517
692.6 IPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
65% |
1139
22.9 IPS |
