LENOVO 83DX
Geekbench AI Score
5403
Single Precision Score
5431
Half Precision Score
15597
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | taruntom1 |
| Upload Date | September 25 2024 05:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83DX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3834
713.1 IPS |
|
|
Image Classification (HP)
|
100% |
3848
715.5 IPS |
|
|
Image Classification (Q)
|
100% |
10203
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9006
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7423
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
7119
8.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
30499
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3226
255.9 IPS |
|
|
Object Detection (HP)
|
100% |
3302
261.9 IPS |
|
|
Object Detection (Q)
|
88% |
10254
822.0 IPS |
|
|
Face Detection (SP)
|
100% |
7805
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
7836
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
25501
303.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9247
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9148
70.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
26540
206.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20538
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20178
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
78963
101.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4521
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4591
169.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15776
584.2 IPS |
|
|
Text Classification (SP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5672
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4640
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6201
106.8 IPS |
