LENOVO 83DN
Geekbench AI Score
2815
Single Precision Score
1246
Half Precision Score
3682
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | fallenursus |
| Upload Date | October 01 2024 05:12 PM |
| Views | 9 |
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% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
99% |
3019
563.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2761
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6004
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3702
4.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
19145
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
523
41.5 IPS |
|
|
Object Detection (Q)
|
88% |
1696
135.9 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
3782
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6629
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1790
13.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7141
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12805
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9324
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18648
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2269
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1732
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3610
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
586
781.5 IPS |
|
|
Text Classification (Q)
|
97% |
491
657.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1898
42.3 IPS |
