LENOVO 83DN
Geekbench AI Score
2766
Single Precision Score
2894
Half Precision Score
6725
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 09:44 PM |
| Views | 1 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1529
284.4 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (Q)
|
100% |
4358
810.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4356
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4281
5.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
14189
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.8 IPS |
|
|
Object Detection (HP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (Q)
|
88% |
3952
316.8 IPS |
|
|
Face Detection (SP)
|
100% |
4245
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
8719
103.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4259
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4560
35.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11259
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12958
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14346
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
43875
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2280
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6246
231.3 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
3177
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2082
35.9 IPS |
