LENOVO 83HN
Geekbench AI Score
2922
Single Precision Score
1565
Half Precision Score
5061
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | November 03 2024 04:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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% |
1682
312.9 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.5 IPS |
|
|
Image Classification (Q)
|
99% |
4469
833.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2724
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6368
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5242
6.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
24469
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (HP)
|
100% |
670
53.2 IPS |
|
|
Object Detection (Q)
|
88% |
2272
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
5204
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6999
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2552
19.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5992
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14842
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13195
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30555
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2416
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3966
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1689
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2555
57.0 IPS |
