LENOVO 83DX
Geekbench AI Score
7345
Single Precision Score
10565
Half Precision Score
5178
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | taruntom1 |
| Upload Date | September 25 2024 05:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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% |
2753
512.0 IPS |
|
|
Image Classification (HP)
|
100% |
4090
760.5 IPS |
|
|
Image Classification (Q)
|
100% |
2328
433.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3516
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4437
71.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2958
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37063
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67670
79.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
26772
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
3439
272.8 IPS |
|
|
Object Detection (Q)
|
89% |
1942
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
5152
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
9325
110.8 IPS |
|
|
Face Detection (Q)
|
97% |
4022
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16025
123.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24498
188.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
11733
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
62665
80.6 IPS |
|
|
Style Transfer (HP)
|
100% |
104858
134.8 IPS |
|
|
Style Transfer (Q)
|
98% |
41909
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13380
494.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19409
716.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8651
320.3 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1718
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3042
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3196
55.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1317
29.4 IPS |
