LENOVO 21MC002TMB
Geekbench ML Score
2663
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ToomasTurk |
| Upload Date | August 15 2024 01:42 PM |
| Views | 3 |
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 | DirectML |
| Device | AMD Radeon 740M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1134
212.3 IPS |
|
|
Image Classification (F16)
|
100% |
1340
250.7 IPS |
|
|
Image Classification (I8)
|
100% |
1011
189.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1421
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1416
23.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1185
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
15771
19.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
15869
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
11970
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1043
77.8 IPS |
|
|
Object Detection (F16)
|
100% |
1043
77.9 IPS |
|
|
Object Detection (I8)
|
62% |
944
70.5 IPS |
|
|
Face Detection (F32)
|
100% |
2473
29.4 IPS |
|
|
Face Detection (F16)
|
100% |
2505
29.8 IPS |
|
|
Face Detection (I8)
|
89% |
1859
22.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7318
56.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7290
56.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
5499
42.6 IPS |
|
|
Style Transfer (F32)
|
100% |
22002
28.9 IPS |
|
|
Style Transfer (F16)
|
100% |
21726
28.6 IPS |
|
|
Style Transfer (I8)
|
98% |
17560
23.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2419
86.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2477
88.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2026
72.4 IPS |
|
|
Text Classification (F32)
|
100% |
1130
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1061
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
854
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
1345
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1467
27.0 IPS |
|
|
Machine Translation (I8)
|
70% |
744
13.7 IPS |
