LENOVO 82YY
Geekbench AI Score
2195
Single Precision Score
1119
Half Precision Score
2819
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 04:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82YY |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1526
283.8 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.2 IPS |
|
|
Image Classification (Q)
|
96% |
2594
484.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2174
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3871
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3267
3.81 IPS |
|
|
Pose Estimation (Q)
|
87% |
8820
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (Q)
|
86% |
1462
117.5 IPS |
|
|
Face Detection (SP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
2700
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4681
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1714
13.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
4060
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9786
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8717
11.2 IPS |
|
|
Style Transfer (Q)
|
87% |
10460
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2109
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
594
792.3 IPS |
|
|
Text Classification (Q)
|
97% |
1280
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
60% |
1410
31.5 IPS |
