LENOVO 82Y9
Geekbench AI Score
7188
Single Precision Score
9815
Half Precision Score
5064
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | May 21 2025 10:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| 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% |
2486
462.3 IPS |
|
|
Image Classification (HP)
|
100% |
3309
615.3 IPS |
|
|
Image Classification (Q)
|
100% |
2140
397.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3940
63.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2547
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
38288
44.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69057
80.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
27621
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
3320
263.4 IPS |
|
|
Object Detection (Q)
|
89% |
2042
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
5170
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
8476
100.7 IPS |
|
|
Face Detection (Q)
|
97% |
3979
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15727
121.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23930
184.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
11755
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
74824
96.2 IPS |
|
|
Style Transfer (HP)
|
100% |
102930
132.3 IPS |
|
|
Style Transfer (Q)
|
98% |
48644
62.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13672
504.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18367
678.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8370
309.9 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2869
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3041
52.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1120
25.0 IPS |
