LENOVO 83D3
Geekbench AI Score
4657
Single Precision Score
4678
Half Precision Score
13317
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Romanychev |
| Upload Date | August 16 2024 01:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83D3 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| 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% |
3360
624.9 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.2 IPS |
|
|
Image Classification (Q)
|
100% |
8316
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7715
125.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6290
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
6249
7.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
26312
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
2999
237.9 IPS |
|
|
Object Detection (HP)
|
100% |
2970
235.6 IPS |
|
|
Object Detection (Q)
|
88% |
8845
709.0 IPS |
|
|
Face Detection (SP)
|
100% |
6323
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
6384
75.9 IPS |
|
|
Face Detection (Q)
|
100% |
21876
259.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8463
65.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
23755
188.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17175
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17642
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
67586
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13107
485.4 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3079
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
4457
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4420
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4322
74.4 IPS |
|
|
Machine Translation (Q)
|
85% |
5729
100.1 IPS |
