Micro-Star International Co., Ltd. Modern 14 C7M
Geekbench ML Score
1882
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 07:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Modern 14 C7M |
| Motherboard | Micro-Star International Co., Ltd. MS-14JK |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7530U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1130
211.5 IPS |
|
|
Image Classification (F16)
|
100% |
1227
229.6 IPS |
|
|
Image Classification (I8)
|
97% |
1987
371.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
897
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1061
17.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1306
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
3246
3.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
2854
3.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
6964
8.43 IPS |
|
|
Object Detection (F32)
|
100% |
1031
76.9 IPS |
|
|
Object Detection (F16)
|
100% |
1025
76.5 IPS |
|
|
Object Detection (I8)
|
60% |
1108
82.7 IPS |
|
|
Face Detection (F32)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (F16)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (I8)
|
87% |
2347
27.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3252
25.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3361
26.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
5889
45.7 IPS |
|
|
Style Transfer (F32)
|
100% |
7077
9.31 IPS |
|
|
Style Transfer (F16)
|
100% |
7274
9.57 IPS |
|
|
Style Transfer (I8)
|
85% |
7874
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1520
54.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1458
52.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1829
65.3 IPS |
|
|
Text Classification (F32)
|
100% |
1181
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1391
2.00 KIPS |
|
|
Text Classification (I8)
|
94% |
283
407.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1362
25.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1689
31.1 IPS |
