NEC PC-GE20C1RG1
Geekbench ML Score
5764
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 07:39 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | NEC PC-GE20C1RG1 |
| Motherboard | NEC 21M1SIT010 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 360 w/ Radeon 880M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2170
406.0 IPS |
|
|
Image Classification (F16)
|
100% |
2253
421.6 IPS |
|
|
Image Classification (I8)
|
100% |
2122
397.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
3424
57.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3793
63.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3014
50.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
26881
32.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
27863
33.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
23165
28.1 IPS |
|
|
Object Detection (F32)
|
100% |
1968
146.9 IPS |
|
|
Object Detection (F16)
|
100% |
1801
134.5 IPS |
|
|
Object Detection (I8)
|
62% |
1693
126.4 IPS |
|
|
Face Detection (F32)
|
100% |
5266
62.6 IPS |
|
|
Face Detection (F16)
|
100% |
5687
67.6 IPS |
|
|
Face Detection (I8)
|
89% |
4375
52.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
14802
114.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
15095
117.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
11867
92.0 IPS |
|
|
Style Transfer (F32)
|
100% |
51929
68.3 IPS |
|
|
Style Transfer (F16)
|
100% |
50465
66.4 IPS |
|
|
Style Transfer (I8)
|
98% |
39455
51.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8473
302.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8807
314.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8445
301.6 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2074
2.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1490
2.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
2989
55.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2335
43.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1529
28.1 IPS |
