LENOVO 82Y9
Geekbench AI Score
15585
Single Precision Score
26525
Half Precision Score
12183
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | May 21 2025 09:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6223
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
10587
1.97 KIPS |
|
|
Image Classification (Q)
|
100% |
5516
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11213
181.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15401
249.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10246
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
80057
93.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
235069
274.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
72686
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
7572
600.6 IPS |
|
|
Object Detection (HP)
|
100% |
13329
1.06 KIPS |
|
|
Object Detection (Q)
|
89% |
6964
557.4 IPS |
|
|
Face Detection (SP)
|
100% |
17536
208.4 IPS |
|
|
Face Detection (HP)
|
100% |
26761
318.0 IPS |
|
|
Face Detection (Q)
|
97% |
14692
175.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
36088
278.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72152
555.9 IPS |
|
|
Depth Estimation (Q)
|
70% |
28382
238.1 IPS |
|
|
Style Transfer (SP)
|
100% |
130999
168.4 IPS |
|
|
Style Transfer (HP)
|
100% |
342170
439.9 IPS |
|
|
Style Transfer (Q)
|
98% |
119355
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26131
964.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41748
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19957
739.0 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3363
4.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1739
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1458
32.5 IPS |
