LENOVO 82Y9
Geekbench AI Score
19511
Single Precision Score
31699
Half Precision Score
14722
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 08:52 AM |
| Views | 1 |
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% |
8027
1.49 KIPS |
|
|
Image Classification (HP)
|
99% |
12574
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
7113
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13350
216.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17228
279.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12114
197.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
119880
139.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
306117
357.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
108235
126.7 IPS |
|
|
Object Detection (SP)
|
100% |
9435
748.4 IPS |
|
|
Object Detection (HP)
|
100% |
15649
1.24 KIPS |
|
|
Object Detection (Q)
|
88% |
8371
671.3 IPS |
|
|
Face Detection (SP)
|
100% |
18899
224.6 IPS |
|
|
Face Detection (HP)
|
100% |
31998
380.2 IPS |
|
|
Face Detection (Q)
|
97% |
16936
201.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44795
345.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85442
658.3 IPS |
|
|
Depth Estimation (Q)
|
72% |
31313
258.7 IPS |
|
|
Style Transfer (SP)
|
100% |
179742
231.1 IPS |
|
|
Style Transfer (HP)
|
100% |
451561
580.5 IPS |
|
|
Style Transfer (Q)
|
98% |
161366
208.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36627
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50738
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26062
965.0 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4063
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1966
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3879
67.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1398
31.2 IPS |
