LENOVO 82Y9
Geekbench AI Score
5676
Single Precision Score
8468
Half Precision Score
4379
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 10:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| 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% |
2459
457.2 IPS |
|
|
Image Classification (HP)
|
100% |
3924
729.7 IPS |
|
|
Image Classification (Q)
|
100% |
1982
368.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1995
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32032
37.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
57309
66.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
22065
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
2104
166.9 IPS |
|
|
Object Detection (HP)
|
100% |
3142
249.2 IPS |
|
|
Object Detection (Q)
|
87% |
2027
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
4434
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
8595
102.1 IPS |
|
|
Face Detection (Q)
|
97% |
3579
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13932
107.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23240
179.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
10881
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
62683
80.6 IPS |
|
|
Style Transfer (HP)
|
100% |
107563
138.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39173
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11011
406.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19912
735.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6916
256.1 IPS |
|
|
Text Classification (SP)
|
100% |
640
854.7 IPS |
|
|
Text Classification (HP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
931
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2841
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2959
51.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1493
28.0 IPS |
