LENOVO 83JM
Geekbench AI Score
4372
Single Precision Score
4326
Half Precision Score
11223
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mukuldev04 |
| Upload Date | August 19 2025 11:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | 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% |
3464
644.3 IPS |
|
|
Image Classification (HP)
|
100% |
3534
657.1 IPS |
|
|
Image Classification (Q)
|
100% |
4541
844.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5209
84.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3034
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3347
3.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
23709
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2771
219.8 IPS |
|
|
Object Detection (HP)
|
100% |
3368
267.1 IPS |
|
|
Object Detection (Q)
|
88% |
8834
708.1 IPS |
|
|
Face Detection (SP)
|
100% |
8509
101.1 IPS |
|
|
Face Detection (HP)
|
100% |
9846
117.0 IPS |
|
|
Face Detection (Q)
|
100% |
17913
212.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6621
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6909
53.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
21646
168.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19582
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17954
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
67043
86.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3579
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3602
133.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12819
474.8 IPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
4976
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5524
95.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3862
66.5 IPS |
