MECHREVO wujie14 Series GX4HRXL
Geekbench ML Score
4037
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 02:24 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MECHREVO wujie14 Series GX4HRXL |
| Motherboard | MECHREVO GX4HRXL |
| 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% |
2086
390.4 IPS |
|
|
Image Classification (F16)
|
100% |
2044
382.4 IPS |
|
|
Image Classification (I8)
|
99% |
4492
840.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1082
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1071
17.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3356
56.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7479
9.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
7501
9.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
25579
31.0 IPS |
|
|
Object Detection (F32)
|
100% |
2126
158.7 IPS |
|
|
Object Detection (F16)
|
100% |
2090
156.1 IPS |
|
|
Object Detection (I8)
|
62% |
2109
157.4 IPS |
|
|
Face Detection (F32)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (F16)
|
100% |
3361
40.0 IPS |
|
|
Face Detection (I8)
|
89% |
5279
62.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8093
62.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8262
64.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
16813
130.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17390
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
16194
21.3 IPS |
|
|
Style Transfer (I8)
|
98% |
24598
32.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2869
102.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3116
111.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3853
137.6 IPS |
|
|
Text Classification (F32)
|
100% |
2103
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
2050
2.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1482
2.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
2182
40.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2203
40.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3055
56.2 IPS |
