Micro-Star International Co., Ltd. Delta 15 A5EFK
Geekbench ML Score
8658
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:19 PM |
| Views | 2 |
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 | DirectML |
| Device | AMD Radeon RX 6700M |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5528
1.03 KIPS |
|
|
Image Classification (F16)
|
100% |
5975
1.12 KIPS |
|
|
Image Classification (I8)
|
100% |
4695
878.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6081
101.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
6047
101.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
5577
93.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
89194
108.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
89934
108.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
79516
96.3 IPS |
|
|
Object Detection (F32)
|
100% |
1549
115.7 IPS |
|
|
Object Detection (F16)
|
100% |
1523
113.7 IPS |
|
|
Object Detection (I8)
|
62% |
1624
121.2 IPS |
|
|
Face Detection (F32)
|
100% |
15628
185.8 IPS |
|
|
Face Detection (F16)
|
100% |
15628
185.8 IPS |
|
|
Face Detection (I8)
|
89% |
12719
151.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
21613
167.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
23474
182.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
17015
131.9 IPS |
|
|
Style Transfer (F32)
|
100% |
83253
109.5 IPS |
|
|
Style Transfer (F16)
|
100% |
82745
108.8 IPS |
|
|
Style Transfer (I8)
|
98% |
75613
99.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7544
269.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7182
256.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7083
252.9 IPS |
|
|
Text Classification (F32)
|
100% |
1674
2.41 KIPS |
|
|
Text Classification (F16)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1200
1.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
2174
40.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2525
46.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1818
33.5 IPS |
