LENOVO 21MC002TMB
Geekbench ML Score
2265
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ToomasTurk |
| Upload Date | August 15 2024 01:39 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21MC002TMB |
| Motherboard | LENOVO 21MC002TMB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 8540U w/ Radeon 740M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 124 Stepping 0 |
| Base Frequency | 3.20 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1128
211.0 IPS |
|
|
Image Classification (F16)
|
100% |
1119
209.4 IPS |
|
|
Image Classification (I8)
|
99% |
3391
634.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1095
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
858
14.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1607
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
3803
4.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
3672
4.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
13459
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1152
86.0 IPS |
|
|
Object Detection (F16)
|
100% |
1197
89.4 IPS |
|
|
Object Detection (I8)
|
62% |
1379
102.9 IPS |
|
|
Face Detection (F32)
|
100% |
1823
21.7 IPS |
|
|
Face Detection (F16)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (I8)
|
89% |
3235
38.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4157
32.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4158
32.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
9972
77.3 IPS |
|
|
Style Transfer (F32)
|
100% |
8683
11.4 IPS |
|
|
Style Transfer (F16)
|
100% |
8608
11.3 IPS |
|
|
Style Transfer (I8)
|
98% |
12629
16.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1931
69.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1811
64.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2395
85.5 IPS |
|
|
Text Classification (F32)
|
100% |
935
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1259
1.81 KIPS |
|
|
Text Classification (I8)
|
98% |
350
502.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1241
22.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1915
35.2 IPS |
