LENOVO 83JK
Geekbench AI Score
6006
Single Precision Score
6120
Half Precision Score
14278
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | May 13 2025 02:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3968
737.9 IPS |
|
|
Image Classification (HP)
|
100% |
4327
804.6 IPS |
|
|
Image Classification (Q)
|
100% |
9825
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4727
76.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9772
158.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8319
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
7923
9.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
29498
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (HP)
|
100% |
3852
305.6 IPS |
|
|
Object Detection (Q)
|
88% |
10142
813.0 IPS |
|
|
Face Detection (SP)
|
100% |
9772
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
11487
136.5 IPS |
|
|
Face Detection (Q)
|
100% |
20847
247.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8854
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9612
74.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24852
193.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24227
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22954
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
78614
101.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4550
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4934
182.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15220
563.7 IPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (Q)
|
92% |
5349
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5694
98.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3698
63.7 IPS |
