PCSpecialist Lafite Pro IV 14M
Geekbench ML Score
3446
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 08:30 AM |
| Views | 2 |
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 | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1539
287.9 IPS |
|
|
Image Classification (F16)
|
100% |
1551
290.2 IPS |
|
|
Image Classification (I8)
|
100% |
1340
250.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1670
27.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1681
28.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1400
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
22503
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
22079
26.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
14788
17.9 IPS |
|
|
Object Detection (F32)
|
100% |
1435
107.1 IPS |
|
|
Object Detection (F16)
|
100% |
1463
109.2 IPS |
|
|
Object Detection (I8)
|
62% |
1273
95.0 IPS |
|
|
Face Detection (F32)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (F16)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (I8)
|
89% |
1913
22.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
9284
72.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9573
74.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
6950
53.9 IPS |
|
|
Style Transfer (F32)
|
100% |
23565
31.0 IPS |
|
|
Style Transfer (F16)
|
100% |
23546
31.0 IPS |
|
|
Style Transfer (I8)
|
98% |
21781
28.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4177
149.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4276
152.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3237
115.6 IPS |
|
|
Text Classification (F32)
|
100% |
1580
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1608
2.31 KIPS |
|
|
Text Classification (I8)
|
98% |
1347
1.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1607
29.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1593
29.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1107
20.4 IPS |
