LENOVO 82Y9
Geekbench AI Score
8213
Single Precision Score
12534
Half Precision Score
5975
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 08:15 AM |
| Views | 5 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3242
602.8 IPS |
|
|
Image Classification (HP)
|
100% |
5042
937.6 IPS |
|
|
Image Classification (Q)
|
100% |
2969
552.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4009
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4840
78.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3267
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
42415
49.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
75698
88.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30444
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
2731
216.7 IPS |
|
|
Object Detection (HP)
|
100% |
4143
328.6 IPS |
|
|
Object Detection (Q)
|
87% |
2556
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
6116
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
11393
135.4 IPS |
|
|
Face Detection (Q)
|
97% |
5070
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17188
132.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
29379
226.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13400
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
71980
92.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120334
154.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47621
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14549
537.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24409
901.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8344
309.0 IPS |
|
|
Text Classification (SP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3338
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1733
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1645
30.8 IPS |
