LENOVO 83D5
Geekbench AI Score
2044
Single Precision Score
943
Half Precision Score
4643
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83D5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| 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% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
99% |
4552
849.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
5282
85.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3099
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2574
3.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
12688
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
86% |
4165
334.7 IPS |
|
|
Face Detection (SP)
|
100% |
3805
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
6283
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4137
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1434
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
5602
44.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7386
9.50 IPS |
|
|
Style Transfer (HP)
|
100% |
6822
8.77 IPS |
|
|
Style Transfer (Q)
|
98% |
16674
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3518
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
494
659.2 IPS |
|
|
Text Classification (Q)
|
97% |
1025
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (Q)
|
65% |
1733
34.8 IPS |
