LENOVO 83DN
Geekbench AI Score
3610
Single Precision Score
1535
Half Precision Score
5658
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 22 2025 06:58 PM |
| Views | 3 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.5 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (Q)
|
99% |
5736
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2961
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6040
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4072
4.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
22199
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2603
206.5 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.2 IPS |
|
|
Object Detection (Q)
|
86% |
5228
420.1 IPS |
|
|
Face Detection (SP)
|
100% |
7425
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
8601
102.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7755
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2112
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14359
114.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14514
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10039
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20825
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2693
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4112
152.3 IPS |
|
|
Text Classification (SP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
589
789.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1993
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2739
55.0 IPS |
