LENOVO 82Y4
Geekbench AI Score
3229
Single Precision Score
1453
Half Precision Score
5007
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | robocat |
| Upload Date | December 25 2024 09:03 PM |
| Views | 2 |
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 82Y4 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2423
450.6 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (Q)
|
99% |
7116
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2424
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4648
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4072
4.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
22347
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2802
222.2 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
86% |
4734
380.5 IPS |
|
|
Face Detection (SP)
|
100% |
5042
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
9506
113.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6177
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2324
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6823
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12112
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11746
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26315
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3318
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
699
933.5 IPS |
|
|
Text Classification (Q)
|
97% |
401
536.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1966
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2393
48.1 IPS |
