LENOVO 82Y9
Geekbench AI Score
2538
Single Precision Score
726
Half Precision Score
3971
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | September 02 2024 09:31 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 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% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
145
26.9 IPS |
|
|
Image Classification (Q)
|
99% |
4606
859.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
996
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
2300
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4545
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4010
4.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
21179
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
88% |
1766
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
287
3.42 IPS |
|
|
Face Detection (Q)
|
97% |
4260
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5146
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
913
7.04 IPS |
|
|
Depth Estimation (Q)
|
76% |
9471
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10867
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9949
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23990
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3128
115.8 IPS |
|
|
Text Classification (SP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
645
860.7 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1855
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1967
43.9 IPS |
