EVGA Corp. Z790 DARK KINGPIN
Geekbench ML Score
6658
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 16 2024 09:42 PM |
| Views | 4 |
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% |
3501
655.1 IPS |
|
|
Image Classification (F16)
|
100% |
3510
656.9 IPS |
|
|
Image Classification (I8)
|
99% |
5485
1.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2906
48.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2904
48.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
4493
75.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
13804
16.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13798
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
44463
53.8 IPS |
|
|
Object Detection (F32)
|
100% |
3398
253.7 IPS |
|
|
Object Detection (F16)
|
100% |
3421
255.4 IPS |
|
|
Object Detection (I8)
|
62% |
2881
215.1 IPS |
|
|
Face Detection (F32)
|
100% |
7795
92.7 IPS |
|
|
Face Detection (F16)
|
100% |
7807
92.8 IPS |
|
|
Face Detection (I8)
|
89% |
7872
93.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
14500
112.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
14396
111.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
25151
195.0 IPS |
|
|
Style Transfer (F32)
|
100% |
33639
44.2 IPS |
|
|
Style Transfer (F16)
|
100% |
33478
44.0 IPS |
|
|
Style Transfer (I8)
|
98% |
43509
57.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6234
222.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6237
222.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8192
292.6 IPS |
|
|
Text Classification (F32)
|
100% |
2147
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
2267
3.26 KIPS |
|
|
Text Classification (I8)
|
98% |
704
1.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
3387
62.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3383
62.3 IPS |
|
|
Machine Translation (I8)
|
67% |
4495
82.7 IPS |
