LENOVO 82JU
Geekbench AI Score
2577
Single Precision Score
1193
Half Precision Score
4742
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | akaloith |
| Upload Date | September 07 2025 06:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82JU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
96% |
4360
814.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
5322
86.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4033
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3306
3.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
9769
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
2016
159.9 IPS |
|
|
Object Detection (HP)
|
100% |
582
46.1 IPS |
|
|
Object Detection (Q)
|
58% |
2881
314.8 IPS |
|
|
Face Detection (SP)
|
100% |
2665
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
6801
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5623
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1708
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9320
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9690
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8141
10.5 IPS |
|
|
Style Transfer (Q)
|
87% |
12899
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1445
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3800
140.8 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
731
975.5 IPS |
|
|
Text Classification (Q)
|
97% |
1260
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2249
43.5 IPS |
