LENOVO 83JX
Geekbench AI Score
2264
Single Precision Score
1084
Half Precision Score
4819
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 07:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 228V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 228V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1479
275.1 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (Q)
|
99% |
3828
714.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5350
87.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3483
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2548
2.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
12024
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
86% |
3803
305.6 IPS |
|
|
Face Detection (SP)
|
100% |
4505
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
1222
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
6412
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4342
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1606
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9616
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8454
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6479
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
16025
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3414
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
548
731.8 IPS |
|
|
Text Classification (Q)
|
97% |
1073
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
1994
40.1 IPS |
