LENOVO 82Y4
Geekbench AI Score
15921
Single Precision Score
27170
Half Precision Score
12675
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | robocat |
| Upload Date | December 25 2024 09:05 PM |
| Views | 2 |
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 82Y4 |
| 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% |
6453
1.20 KIPS |
|
|
Image Classification (HP)
|
99% |
10807
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
5941
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11363
184.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15541
251.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10176
165.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
77897
90.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
233618
272.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
70339
82.4 IPS |
|
|
Object Detection (SP)
|
100% |
8132
645.0 IPS |
|
|
Object Detection (HP)
|
100% |
14896
1.18 KIPS |
|
|
Object Detection (Q)
|
84% |
7157
577.2 IPS |
|
|
Face Detection (SP)
|
100% |
19699
234.1 IPS |
|
|
Face Detection (HP)
|
100% |
31042
368.8 IPS |
|
|
Face Detection (Q)
|
97% |
17447
208.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
35768
275.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71782
554.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
29783
238.8 IPS |
|
|
Style Transfer (SP)
|
100% |
133007
171.0 IPS |
|
|
Style Transfer (HP)
|
100% |
339492
436.4 IPS |
|
|
Style Transfer (Q)
|
98% |
120797
155.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25929
957.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40962
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19147
709.0 IPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3101
4.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1649
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3904
67.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1775
33.3 IPS |
