LENOVO 83HN
Geekbench AI Score
7108
Single Precision Score
9820
Half Precision Score
5458
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 26 2024 04:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
4082
759.1 IPS |
|
|
Image Classification (Q)
|
100% |
2279
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4769
77.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3645
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
43523
50.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69372
80.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33806
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
100% |
3032
240.5 IPS |
|
|
Object Detection (Q)
|
89% |
2036
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
6111
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
9648
114.6 IPS |
|
|
Face Detection (Q)
|
97% |
4727
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17936
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23096
177.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
12922
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
72430
93.1 IPS |
|
|
Style Transfer (HP)
|
100% |
111664
143.5 IPS |
|
|
Style Transfer (Q)
|
98% |
52475
67.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14500
535.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19527
721.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6827
252.8 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1632
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1150
25.6 IPS |
