LENOVO 82Y9
Geekbench AI Score
19569
Single Precision Score
31797
Half Precision Score
15385
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dtucny |
| Upload Date | June 10 2025 12:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
7981
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
12775
2.38 KIPS |
|
|
Image Classification (Q)
|
100% |
7245
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14362
232.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19269
312.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12886
209.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
104065
121.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
298418
348.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
87962
103.1 IPS |
|
|
Object Detection (SP)
|
100% |
9462
750.5 IPS |
|
|
Object Detection (HP)
|
100% |
15687
1.24 KIPS |
|
|
Object Detection (Q)
|
85% |
8378
674.5 IPS |
|
|
Face Detection (SP)
|
100% |
23686
281.4 IPS |
|
|
Face Detection (HP)
|
100% |
35920
426.8 IPS |
|
|
Face Detection (Q)
|
97% |
21148
252.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
47624
366.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
84900
654.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38409
307.0 IPS |
|
|
Style Transfer (SP)
|
100% |
158975
204.4 IPS |
|
|
Style Transfer (HP)
|
100% |
418066
537.4 IPS |
|
|
Style Transfer (Q)
|
98% |
160456
206.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34180
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49593
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24523
908.1 IPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3459
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1769
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4084
70.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4192
72.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1911
35.8 IPS |
