LENOVO 83DN
Geekbench AI Score
3470
Single Precision Score
1450
Half Precision Score
6292
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 09:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.2 IPS |
|
|
Image Classification (Q)
|
99% |
5058
943.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
862
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2825
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6279
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4128
4.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
23153
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.3 IPS |
|
|
Object Detection (Q)
|
86% |
5881
472.6 IPS |
|
|
Face Detection (SP)
|
100% |
7185
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
8644
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7832
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2110
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14463
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14831
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10202
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20552
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2674
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4165
154.2 IPS |
|
|
Text Classification (SP)
|
100% |
1502
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
725
967.8 IPS |
|
|
Text Classification (Q)
|
97% |
1595
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1849
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2931
58.9 IPS |
