LENOVO 83DN
Geekbench AI Score
3093
Single Precision Score
1394
Half Precision Score
4039
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 02:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1652
307.3 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.7 IPS |
|
|
Image Classification (Q)
|
99% |
3663
683.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2816
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5873
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4066
4.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
22179
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
1917
152.0 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
88% |
1860
149.1 IPS |
|
|
Face Detection (SP)
|
100% |
3919
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
4000
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6835
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1941
15.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7688
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14399
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10353
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20057
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4076
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
1601
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
607
810.2 IPS |
|
|
Text Classification (Q)
|
97% |
514
688.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1809
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2105
47.0 IPS |
