LENOVO 82Y9
Geekbench AI Score
1180
Single Precision Score
1195
Half Precision Score
3175
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 10:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Insider Preview (64-bit) |
| Model | LENOVO 82Y9 |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
676
125.8 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (Q)
|
100% |
2060
383.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1026
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1642
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1407
1.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
4889
5.72 IPS |
|
|
Object Detection (SP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (Q)
|
88% |
2355
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1976
23.5 IPS |
|
|
Face Detection (Q)
|
100% |
5493
65.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2033
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1932
14.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
6200
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3769
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3858
4.96 IPS |
|
|
Style Transfer (Q)
|
98% |
13734
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
963
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2948
109.2 IPS |
|
|
Text Classification (SP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
1753
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1774
30.6 IPS |
