NetCom IT pczB1118
Geekbench ML Score
4604
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 12:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | NetCom IT pczB1118 |
| Motherboard | KONTRON K3851-R1 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P2200 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1869
349.7 IPS |
|
|
Image Classification (F16)
|
100% |
1923
359.9 IPS |
|
|
Image Classification (I8)
|
100% |
1652
309.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2715
45.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2946
49.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2408
40.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
19352
23.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
19327
23.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
16621
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
2156
161.0 IPS |
|
|
Object Detection (F16)
|
100% |
1935
144.5 IPS |
|
|
Object Detection (I8)
|
58% |
1620
121.0 IPS |
|
|
Face Detection (F32)
|
100% |
4447
52.9 IPS |
|
|
Face Detection (F16)
|
100% |
4652
55.3 IPS |
|
|
Face Detection (I8)
|
89% |
3656
43.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
9824
76.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9797
76.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
8140
63.1 IPS |
|
|
Style Transfer (F32)
|
100% |
43070
56.7 IPS |
|
|
Style Transfer (F16)
|
100% |
43830
57.7 IPS |
|
|
Style Transfer (I8)
|
98% |
34254
45.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8109
289.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7981
285.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5569
198.9 IPS |
|
|
Text Classification (F32)
|
100% |
1515
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1500
2.16 KIPS |
|
|
Text Classification (I8)
|
98% |
789
1.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
2358
43.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2392
44.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1172
21.6 IPS |
