AZW SER8
Geekbench ML Score
3125
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 22 2024 04:02 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1502
281.1 IPS |
|
|
Image Classification (F16)
|
100% |
1952
365.2 IPS |
|
|
Image Classification (I8)
|
99% |
4502
842.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1089
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1334
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2184
36.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6386
7.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
4218
5.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
20893
25.3 IPS |
|
|
Object Detection (F32)
|
100% |
1399
104.4 IPS |
|
|
Object Detection (F16)
|
100% |
2023
151.0 IPS |
|
|
Object Detection (I8)
|
62% |
1575
117.6 IPS |
|
|
Face Detection (F32)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (F16)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (I8)
|
89% |
5070
60.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4942
38.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4864
37.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14406
111.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10477
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
10306
13.6 IPS |
|
|
Style Transfer (I8)
|
98% |
24648
32.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2552
91.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2044
73.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3475
124.1 IPS |
|
|
Text Classification (F32)
|
100% |
1545
2.22 KIPS |
|
|
Text Classification (F16)
|
100% |
1493
2.15 KIPS |
|
|
Text Classification (I8)
|
98% |
376
540.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1860
34.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1788
32.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2485
45.7 IPS |
