LENOVO 83JM
Geekbench AI Score
4378
Single Precision Score
2026
Half Precision Score
8546
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 02:24 AM |
| Views | 3 |
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% |
2649
492.5 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.0 IPS |
|
|
Image Classification (Q)
|
99% |
7981
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10890
177.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8062
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
5241
6.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
26931
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
3435
272.5 IPS |
|
|
Object Detection (HP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (Q)
|
86% |
8696
698.9 IPS |
|
|
Face Detection (SP)
|
100% |
9842
116.9 IPS |
|
|
Face Detection (HP)
|
100% |
2163
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
10906
130.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8900
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2805
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17656
140.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15732
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13117
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23854
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3196
118.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2502
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4118
152.5 IPS |
|
|
Text Classification (SP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1753
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2615
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3079
61.9 IPS |
