LENOVO 83JM
Geekbench AI Score
11298
Single Precision Score
26083
Half Precision Score
32616
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mukuldev04 |
| Upload Date | August 19 2025 11:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| 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% |
7422
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
13703
2.55 KIPS |
|
|
Image Classification (Q)
|
100% |
18122
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9671
156.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23674
383.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27973
453.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26426
30.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
107357
125.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
200350
234.6 IPS |
|
|
Object Detection (SP)
|
100% |
7251
575.2 IPS |
|
|
Object Detection (HP)
|
100% |
15297
1.21 KIPS |
|
|
Object Detection (Q)
|
88% |
19198
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
13813
164.1 IPS |
|
|
Face Detection (HP)
|
100% |
30880
366.9 IPS |
|
|
Face Detection (Q)
|
100% |
42055
499.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23583
181.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53552
412.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
71524
556.0 IPS |
|
|
Style Transfer (SP)
|
100% |
64445
82.8 IPS |
|
|
Style Transfer (HP)
|
100% |
176905
227.4 IPS |
|
|
Style Transfer (Q)
|
98% |
278013
358.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10775
397.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33517
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40424
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4490
5.99 KIPS |
|
|
Text Classification (Q)
|
92% |
3167
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6214
107.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6528
112.5 IPS |
