LENOVO 83JK
Geekbench AI Score
5190
Single Precision Score
1969
Half Precision Score
8573
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | May 13 2025 03:00 PM |
| 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 (64-bit) |
| Model | LENOVO 83JK |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
3867
719.1 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.3 IPS |
|
|
Image Classification (Q)
|
99% |
8634
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3857
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9411
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6364
7.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
30501
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
3648
289.4 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
86% |
8543
686.6 IPS |
|
|
Face Detection (SP)
|
100% |
10336
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
11514
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10909
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2923
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18593
148.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21850
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15002
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27756
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2515
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5432
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
1948
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1856
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2697
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4127
82.9 IPS |
