LENOVO 83DN
Geekbench AI Score
3308
Single Precision Score
3430
Half Precision Score
8240
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 03:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1582
294.2 IPS |
|
|
Image Classification (HP)
|
100% |
1636
304.2 IPS |
|
|
Image Classification (Q)
|
100% |
5085
945.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5133
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4287
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
5136
5.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
16266
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (Q)
|
88% |
5815
466.2 IPS |
|
|
Face Detection (SP)
|
100% |
5871
69.8 IPS |
|
|
Face Detection (HP)
|
100% |
5940
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
12504
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5990
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6016
46.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14096
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13297
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14155
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
43243
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8180
303.0 IPS |
|
|
Text Classification (SP)
|
100% |
2140
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
3756
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2677
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2497
43.0 IPS |
