LENOVO 83KJ
Geekbench AI Score
3759
Single Precision Score
1580
Half Precision Score
5036
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 10:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83KJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1949
362.5 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.5 IPS |
|
|
Image Classification (Q)
|
99% |
3664
683.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3204
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7465
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5464
6.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
26441
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
88% |
2027
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
4553
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
4383
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8640
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2438
18.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7867
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18025
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12840
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24617
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3288
121.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2350
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4564
169.0 IPS |
|
|
Text Classification (SP)
|
100% |
1655
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
693
924.9 IPS |
|
|
Text Classification (Q)
|
97% |
1532
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2134
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2811
62.7 IPS |
