LENOVO 83JM
Geekbench AI Score
4298
Single Precision Score
1899
Half Precision Score
8500
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 02:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| 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% |
3625
674.2 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.2 IPS |
|
|
Image Classification (Q)
|
99% |
8277
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10694
173.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5715
6.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
23679
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3018
239.4 IPS |
|
|
Object Detection (HP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (Q)
|
86% |
8052
647.1 IPS |
|
|
Face Detection (SP)
|
100% |
7973
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
1774
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
10653
127.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9224
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2663
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17130
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18081
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10941
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16321
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2720
100.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5724
211.9 IPS |
|
|
Text Classification (SP)
|
100% |
1899
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1709
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4006
80.5 IPS |
