LENOVO 82Y9
Geekbench AI Score
5929
Single Precision Score
5734
Half Precision Score
16683
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 08:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3827
711.7 IPS |
|
|
Image Classification (HP)
|
100% |
2576
479.0 IPS |
|
|
Image Classification (Q)
|
100% |
11136
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4158
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4320
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12289
199.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7221
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
7241
8.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
28608
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3325
263.7 IPS |
|
|
Object Detection (HP)
|
100% |
3292
261.2 IPS |
|
|
Object Detection (Q)
|
88% |
10700
857.7 IPS |
|
|
Face Detection (SP)
|
100% |
8029
95.4 IPS |
|
|
Face Detection (HP)
|
100% |
8070
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
26177
311.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9232
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9143
70.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
27757
216.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20291
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20031
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
78161
100.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4392
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4477
165.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15510
574.4 IPS |
|
|
Text Classification (SP)
|
100% |
3789
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5852
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5617
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5662
97.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7737
133.3 IPS |
