LENOVO 82Y9
Geekbench AI Score
2483
Single Precision Score
717
Half Precision Score
3815
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | May 21 2025 10:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82Y9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1433
266.5 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.1 IPS |
|
|
Image Classification (Q)
|
99% |
4117
767.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
2122
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4428
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3882
4.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
19845
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.2 IPS |
|
|
Object Detection (Q)
|
88% |
1681
134.7 IPS |
|
|
Face Detection (SP)
|
100% |
3000
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (Q)
|
97% |
4758
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5037
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
905
6.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
9338
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11008
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9436
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24010
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1852
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1729
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2903
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
678
905.5 IPS |
|
|
Text Classification (Q)
|
97% |
408
545.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
580
9.98 IPS |
|
|
Machine Translation (Q)
|
60% |
1776
39.6 IPS |
