LENOVO 82XT
Geekbench ML Score
3165
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 08:08 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82XT |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1610
301.3 IPS |
|
|
Image Classification (F16)
|
100% |
1566
293.0 IPS |
|
|
Image Classification (I8)
|
99% |
4538
849.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1076
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1160
19.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2057
34.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4926
5.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
5635
6.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
20724
25.1 IPS |
|
|
Object Detection (F32)
|
100% |
1592
118.9 IPS |
|
|
Object Detection (F16)
|
100% |
1503
112.2 IPS |
|
|
Object Detection (I8)
|
62% |
1483
110.7 IPS |
|
|
Face Detection (F32)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (F16)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (I8)
|
89% |
4993
59.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6533
50.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6291
48.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
14963
116.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12540
16.5 IPS |
|
|
Style Transfer (F16)
|
100% |
13077
17.2 IPS |
|
|
Style Transfer (I8)
|
98% |
21918
28.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2129
76.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2329
83.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3438
122.8 IPS |
|
|
Text Classification (F32)
|
100% |
1618
2.33 KIPS |
|
|
Text Classification (F16)
|
100% |
1777
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
362
520.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1935
35.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1976
36.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2508
46.2 IPS |
