Micro-Star International Co., Ltd. Delta 15 A5EFK
Geekbench ML Score
2722
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:14 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Delta 15 A5EFK |
| Motherboard | Micro-Star International Co., Ltd. MS-15CK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1625
304.1 IPS |
|
|
Image Classification (F16)
|
100% |
1647
308.2 IPS |
|
|
Image Classification (I8)
|
97% |
3126
585.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1463
24.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1463
24.4 IPS |
|
|
Image Segmentation (I8)
|
97% |
1725
28.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5194
6.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
5716
6.92 IPS |
|
|
Pose Estimation (I8)
|
100% |
10692
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1631
121.8 IPS |
|
|
Object Detection (F16)
|
100% |
1502
112.2 IPS |
|
|
Object Detection (I8)
|
60% |
1386
103.5 IPS |
|
|
Face Detection (F32)
|
100% |
2194
26.1 IPS |
|
|
Face Detection (F16)
|
100% |
2173
25.8 IPS |
|
|
Face Detection (I8)
|
87% |
3462
41.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5860
45.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5862
45.5 IPS |
|
|
Depth Estimation (I8)
|
74% |
9479
73.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11264
14.8 IPS |
|
|
Style Transfer (F16)
|
100% |
10189
13.4 IPS |
|
|
Style Transfer (I8)
|
85% |
15139
19.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2188
78.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2145
76.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2770
98.9 IPS |
|
|
Text Classification (F32)
|
100% |
1277
1.83 KIPS |
|
|
Text Classification (F16)
|
100% |
1513
2.18 KIPS |
|
|
Text Classification (I8)
|
94% |
290
417.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1708
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1592
29.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1814
33.4 IPS |
