LENOVO 83D3
Geekbench AI Score
8007
Single Precision Score
10949
Half Precision Score
6046
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KieraTheToastie |
| Upload Date | December 26 2024 01:34 AM |
| Views | 1 |
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 83D3 |
| 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% |
3273
608.7 IPS |
|
|
Image Classification (HP)
|
100% |
4441
825.9 IPS |
|
|
Image Classification (Q)
|
100% |
2934
545.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4207
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4688
76.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3398
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
38601
45.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
72001
84.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29973
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
2905
230.5 IPS |
|
|
Object Detection (HP)
|
100% |
3950
313.3 IPS |
|
|
Object Detection (Q)
|
87% |
2539
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
6482
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
10668
126.8 IPS |
|
|
Face Detection (Q)
|
97% |
5587
66.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17815
137.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25608
197.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13817
110.8 IPS |
|
|
Style Transfer (SP)
|
100% |
66838
85.9 IPS |
|
|
Style Transfer (HP)
|
100% |
101314
130.2 IPS |
|
|
Style Transfer (Q)
|
98% |
46530
60.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13360
493.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18685
689.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9004
333.4 IPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1601
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1663
31.2 IPS |
