LENOVO 82Y9
Geekbench AI Score
7838
Single Precision Score
11318
Half Precision Score
5744
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dtucny |
| Upload Date | June 10 2025 12:16 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% |
3100
576.6 IPS |
|
|
Image Classification (HP)
|
100% |
4938
918.4 IPS |
|
|
Image Classification (Q)
|
100% |
2959
550.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3849
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4675
75.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3149
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
40096
46.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
72805
85.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27528
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
2604
206.5 IPS |
|
|
Object Detection (HP)
|
100% |
3752
297.6 IPS |
|
|
Object Detection (Q)
|
87% |
2433
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
5726
68.0 IPS |
|
|
Face Detection (HP)
|
100% |
10363
123.1 IPS |
|
|
Face Detection (Q)
|
97% |
4734
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17120
131.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25841
199.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12847
103.0 IPS |
|
|
Style Transfer (SP)
|
100% |
70178
90.2 IPS |
|
|
Style Transfer (HP)
|
100% |
114077
146.6 IPS |
|
|
Style Transfer (Q)
|
98% |
44392
57.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13928
514.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19959
737.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8502
314.8 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1677
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3161
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1630
30.6 IPS |
