LENOVO 83JM
Geekbench AI Score
5732
Single Precision Score
9779
Half Precision Score
14906
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mukuldev04 |
| Upload Date | August 19 2025 11:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JM |
| 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% |
3530
656.5 IPS |
|
|
Image Classification (HP)
|
100% |
6806
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9320
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4486
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3899
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7664
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
34359
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
72641
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
3164
250.9 IPS |
|
|
Object Detection (HP)
|
100% |
6131
486.3 IPS |
|
|
Object Detection (Q)
|
87% |
9942
797.9 IPS |
|
|
Face Detection (SP)
|
100% |
9468
112.5 IPS |
|
|
Face Detection (HP)
|
100% |
16087
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
30872
366.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8753
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19365
149.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
35648
277.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21922
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54252
69.7 IPS |
|
|
Style Transfer (Q)
|
98% |
97198
125.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4078
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14035
518.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23446
868.3 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1969
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1965
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4165
71.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4187
72.1 IPS |
