EVGA Corp. Z790 DARK KINGPIN
Geekbench ML Score
6346
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 16 2024 09:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z790 DARK KINGPIN |
| Motherboard | EVGA Corp. Z790 DARK KINGPIN |
| Power Plan | Prestazioni eccellenti |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 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% |
3371
630.8 IPS |
|
|
Image Classification (F16)
|
100% |
3357
628.3 IPS |
|
|
Image Classification (I8)
|
99% |
5134
960.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2743
45.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2738
45.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
4225
70.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
13717
16.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
13701
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
43648
52.9 IPS |
|
|
Object Detection (F32)
|
100% |
3286
245.3 IPS |
|
|
Object Detection (F16)
|
100% |
3262
243.5 IPS |
|
|
Object Detection (I8)
|
62% |
2763
206.3 IPS |
|
|
Face Detection (F32)
|
100% |
7467
88.8 IPS |
|
|
Face Detection (F16)
|
100% |
7369
87.6 IPS |
|
|
Face Detection (I8)
|
89% |
7441
88.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
13881
107.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13877
107.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
23765
184.3 IPS |
|
|
Style Transfer (F32)
|
100% |
32728
43.1 IPS |
|
|
Style Transfer (F16)
|
100% |
32638
42.9 IPS |
|
|
Style Transfer (I8)
|
98% |
41452
54.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6102
217.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6071
216.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7691
274.7 IPS |
|
|
Text Classification (F32)
|
100% |
2036
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
2145
3.08 KIPS |
|
|
Text Classification (I8)
|
98% |
662
951.9 IPS |
|
|
Machine Translation (F32)
|
100% |
3091
56.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3084
56.8 IPS |
|
|
Machine Translation (I8)
|
67% |
4088
75.2 IPS |
