LENOVO 82Y9
Geekbench AI Score
16280
Single Precision Score
27824
Half Precision Score
12978
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | asherlewis |
| Upload Date | December 07 2024 09:04 AM |
| 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 Insider Preview (64-bit) |
| Model | LENOVO 82Y9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6668
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
11447
2.13 KIPS |
|
|
Image Classification (Q)
|
99% |
6165
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11102
180.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15555
252.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10310
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
84912
99.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
232945
271.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75205
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
7996
634.3 IPS |
|
|
Object Detection (HP)
|
100% |
15051
1.19 KIPS |
|
|
Object Detection (Q)
|
84% |
7242
584.1 IPS |
|
|
Face Detection (SP)
|
100% |
19884
236.3 IPS |
|
|
Face Detection (HP)
|
100% |
30780
365.7 IPS |
|
|
Face Detection (Q)
|
97% |
17780
212.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
35267
271.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
77209
594.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
29630
237.0 IPS |
|
|
Style Transfer (SP)
|
100% |
133814
172.0 IPS |
|
|
Style Transfer (HP)
|
100% |
345502
444.1 IPS |
|
|
Style Transfer (Q)
|
98% |
122040
157.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27040
998.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43483
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19770
732.1 IPS |
|
|
Text Classification (SP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3170
4.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1766
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1745
32.7 IPS |
