LENOVO 83DX
Geekbench AI Score
1553
Single Precision Score
742
Half Precision Score
3534
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 23 2025 11:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1097
204.0 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
99% |
3377
629.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
3626
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
10573
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1101
87.4 IPS |
|
|
Object Detection (HP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (Q)
|
86% |
2891
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
812
9.64 IPS |
|
|
Face Detection (Q)
|
97% |
4215
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3067
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1102
8.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
3641
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5963
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
5208
6.69 IPS |
|
|
Style Transfer (Q)
|
98% |
12849
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
955
35.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2946
109.1 IPS |
|
|
Text Classification (SP)
|
100% |
908
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
381
509.0 IPS |
|
|
Text Classification (Q)
|
97% |
820
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
65% |
1705
34.3 IPS |
