LENOVO 82Y9
Geekbench AI Score
3113
Single Precision Score
1413
Half Precision Score
6275
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dtucny |
| Upload Date | June 10 2025 12:10 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| 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% |
2324
432.1 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.6 IPS |
|
|
Image Classification (Q)
|
99% |
6841
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3393
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4672
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
4116
4.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
20854
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
86% |
6861
551.4 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
9664
115.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6632
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2237
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7039
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12152
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10372
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25080
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3164
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
689
920.3 IPS |
|
|
Text Classification (Q)
|
97% |
1711
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2113
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3090
62.1 IPS |
