LENOVO 82Y9
Geekbench AI Score
15926
Single Precision Score
26140
Half Precision Score
12596
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 10:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Insider Preview (64-bit) |
| Model | LENOVO 82Y9 |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6285
1.17 KIPS |
|
|
Image Classification (HP)
|
99% |
10667
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
5834
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12152
197.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16232
263.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11011
179.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
79643
92.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
234248
273.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
70215
82.3 IPS |
|
|
Object Detection (SP)
|
100% |
7858
623.3 IPS |
|
|
Object Detection (HP)
|
100% |
13912
1.10 KIPS |
|
|
Object Detection (Q)
|
84% |
6801
548.6 IPS |
|
|
Face Detection (SP)
|
100% |
18978
225.5 IPS |
|
|
Face Detection (HP)
|
100% |
26326
312.8 IPS |
|
|
Face Detection (Q)
|
97% |
16077
191.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38555
297.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72069
555.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
32400
259.2 IPS |
|
|
Style Transfer (SP)
|
100% |
130636
167.9 IPS |
|
|
Style Transfer (HP)
|
100% |
324087
416.6 IPS |
|
|
Style Transfer (Q)
|
98% |
116825
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24738
913.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39959
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19179
710.2 IPS |
|
|
Text Classification (SP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2768
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1594
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1763
33.1 IPS |
