EVGA Corp. Z790 DARK KINGPIN
Geekbench ML Score
6515
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 16 2024 09:22 PM |
| Views | 3 |
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% |
3444
644.4 IPS |
|
|
Image Classification (F16)
|
100% |
3462
647.8 IPS |
|
|
Image Classification (I8)
|
99% |
5327
996.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2840
47.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2843
47.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
4339
72.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
13765
16.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13767
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
44169
53.5 IPS |
|
|
Object Detection (F32)
|
100% |
3350
250.1 IPS |
|
|
Object Detection (F16)
|
100% |
3349
250.0 IPS |
|
|
Object Detection (I8)
|
62% |
2835
211.6 IPS |
|
|
Face Detection (F32)
|
100% |
7692
91.5 IPS |
|
|
Face Detection (F16)
|
100% |
7720
91.8 IPS |
|
|
Face Detection (I8)
|
89% |
7608
90.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
14235
110.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
14282
110.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
24506
190.0 IPS |
|
|
Style Transfer (F32)
|
100% |
33114
43.6 IPS |
|
|
Style Transfer (F16)
|
100% |
33007
43.4 IPS |
|
|
Style Transfer (I8)
|
98% |
42751
56.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6150
219.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6155
219.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7898
282.1 IPS |
|
|
Text Classification (F32)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
2111
3.03 KIPS |
|
|
Text Classification (I8)
|
98% |
681
979.2 IPS |
|
|
Machine Translation (F32)
|
100% |
3279
60.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3278
60.3 IPS |
|
|
Machine Translation (I8)
|
67% |
4319
79.5 IPS |
