LENOVO 83JK
Geekbench AI Score
6052
Single Precision Score
9906
Half Precision Score
15030
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | May 13 2025 02:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
4023
748.1 IPS |
|
|
Image Classification (HP)
|
100% |
6967
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9726
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4472
72.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3570
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8573
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34881
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75271
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
3230
256.2 IPS |
|
|
Object Detection (HP)
|
100% |
6049
479.8 IPS |
|
|
Object Detection (Q)
|
87% |
9887
793.5 IPS |
|
|
Face Detection (SP)
|
100% |
9815
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
17689
210.2 IPS |
|
|
Face Detection (Q)
|
100% |
32908
391.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8873
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19674
151.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
36007
280.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23921
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52943
68.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94515
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4654
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14244
526.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23649
875.8 IPS |
|
|
Text Classification (SP)
|
100% |
3611
4.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
2048
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3782
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4150
71.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4199
72.3 IPS |
