NetCom IT pczB1118
Geekbench ML Score
4423
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 12:02 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2395
448.1 IPS |
|
|
Image Classification (F16)
|
100% |
2403
449.7 IPS |
|
|
Image Classification (I8)
|
99% |
3569
667.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1907
31.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1969
32.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2857
47.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
11080
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
10885
13.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
31922
38.7 IPS |
|
|
Object Detection (F32)
|
100% |
2251
168.0 IPS |
|
|
Object Detection (F16)
|
100% |
2149
160.4 IPS |
|
|
Object Detection (I8)
|
62% |
2006
149.7 IPS |
|
|
Face Detection (F32)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (F16)
|
100% |
4505
53.6 IPS |
|
|
Face Detection (I8)
|
89% |
4699
55.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
10028
77.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9857
76.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
15862
123.0 IPS |
|
|
Style Transfer (F32)
|
100% |
24131
31.7 IPS |
|
|
Style Transfer (F16)
|
100% |
24189
31.8 IPS |
|
|
Style Transfer (I8)
|
98% |
23922
31.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4628
165.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4484
160.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5340
190.7 IPS |
|
|
Text Classification (F32)
|
100% |
1493
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1495
2.15 KIPS |
|
|
Text Classification (I8)
|
98% |
484
696.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2241
41.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2323
42.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2292
42.2 IPS |
