LENOVO 83DH
Geekbench AI Score
6084
Single Precision Score
6125
Half Precision Score
16714
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | November 20 2024 12:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | LENOVO 83DH |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.41 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4099
762.3 IPS |
|
|
Image Classification (HP)
|
100% |
4096
761.8 IPS |
|
|
Image Classification (Q)
|
100% |
11443
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4111
66.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9338
151.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7864
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
7856
9.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
31576
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
3493
277.1 IPS |
|
|
Object Detection (HP)
|
100% |
3561
282.5 IPS |
|
|
Object Detection (Q)
|
88% |
11551
926.0 IPS |
|
|
Face Detection (SP)
|
100% |
7821
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
7944
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
26969
320.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9971
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10028
77.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
29485
229.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21692
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21111
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
83400
107.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4623
170.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16385
606.8 IPS |
|
|
Text Classification (SP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
92% |
6004
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4955
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4959
85.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6693
115.3 IPS |
