LENOVO 82Y9
Geekbench AI Score
21227
Single Precision Score
34253
Half Precision Score
16205
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 01:18 PM |
| Views | 4 |
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% |
8506
1.58 KIPS |
|
|
Image Classification (HP)
|
99% |
13425
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
7404
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15349
248.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20893
338.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12499
203.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
121910
142.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
317867
370.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
103635
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
9880
783.7 IPS |
|
|
Object Detection (HP)
|
100% |
16687
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
8665
697.5 IPS |
|
|
Face Detection (SP)
|
100% |
24723
293.8 IPS |
|
|
Face Detection (HP)
|
100% |
38904
462.3 IPS |
|
|
Face Detection (Q)
|
97% |
22010
262.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
51001
392.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
92264
710.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
40971
327.4 IPS |
|
|
Style Transfer (SP)
|
100% |
189445
243.5 IPS |
|
|
Style Transfer (HP)
|
100% |
457015
587.5 IPS |
|
|
Style Transfer (Q)
|
98% |
169086
218.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36924
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52983
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26385
977.0 IPS |
|
|
Text Classification (SP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
3751
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1898
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4284
73.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4584
79.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1969
36.9 IPS |
