PCSpecialist Lafite Pro IV 14M
Geekbench ML Score
3208
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 08:27 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | PCSpecialist Lafite Pro IV 14M |
| Motherboard | TongFang 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1556
291.1 IPS |
|
|
Image Classification (F16)
|
100% |
1453
271.9 IPS |
|
|
Image Classification (I8)
|
99% |
4814
900.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
966
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1009
16.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2283
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6880
8.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
7017
8.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
23935
29.0 IPS |
|
|
Object Detection (F32)
|
100% |
1780
132.9 IPS |
|
|
Object Detection (F16)
|
100% |
1803
134.6 IPS |
|
|
Object Detection (I8)
|
62% |
1895
141.5 IPS |
|
|
Face Detection (F32)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (F16)
|
100% |
2010
23.9 IPS |
|
|
Face Detection (I8)
|
89% |
3579
42.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5845
45.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6875
53.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
15257
118.3 IPS |
|
|
Style Transfer (F32)
|
100% |
14157
18.6 IPS |
|
|
Style Transfer (F16)
|
100% |
14289
18.8 IPS |
|
|
Style Transfer (I8)
|
98% |
16667
21.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2722
97.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2778
99.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3441
122.9 IPS |
|
|
Text Classification (F32)
|
100% |
2023
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
2042
2.94 KIPS |
|
|
Text Classification (I8)
|
98% |
368
528.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1726
31.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1748
32.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2472
45.5 IPS |
