LENOVO 83KF
Geekbench AI Score
6017
Single Precision Score
9947
Half Precision Score
15067
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | May 26 2025 08:18 AM |
| 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 83KF |
| 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% |
3866
719.0 IPS |
|
|
Image Classification (HP)
|
100% |
6875
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9438
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4612
74.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2785
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3570
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8605
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34895
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75313
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
3130
248.3 IPS |
|
|
Object Detection (HP)
|
100% |
6069
481.4 IPS |
|
|
Object Detection (Q)
|
87% |
9994
802.1 IPS |
|
|
Face Detection (SP)
|
100% |
9780
116.2 IPS |
|
|
Face Detection (HP)
|
100% |
17752
210.9 IPS |
|
|
Face Detection (Q)
|
100% |
33238
394.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8930
68.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19767
152.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
36302
282.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24139
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54321
69.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95326
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14294
527.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23757
879.8 IPS |
|
|
Text Classification (SP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2046
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
2035
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4278
73.7 IPS |
