EVGA Corp. Z790 DARK KINGPIN
Geekbench ML Score
6499
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 16 2024 09:35 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 | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 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% |
3461
647.7 IPS |
|
|
Image Classification (F16)
|
100% |
3456
646.8 IPS |
|
|
Image Classification (I8)
|
99% |
5321
995.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2806
46.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2813
47.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4372
73.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
13814
16.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13829
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
44451
53.8 IPS |
|
|
Object Detection (F32)
|
100% |
3354
250.4 IPS |
|
|
Object Detection (F16)
|
100% |
3350
250.1 IPS |
|
|
Object Detection (I8)
|
62% |
2848
212.6 IPS |
|
|
Face Detection (F32)
|
100% |
7665
91.1 IPS |
|
|
Face Detection (F16)
|
100% |
7651
91.0 IPS |
|
|
Face Detection (I8)
|
89% |
7663
91.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
14293
110.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
14335
111.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
24466
189.7 IPS |
|
|
Style Transfer (F32)
|
100% |
33383
43.9 IPS |
|
|
Style Transfer (F16)
|
100% |
33193
43.7 IPS |
|
|
Style Transfer (I8)
|
98% |
42532
55.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6155
219.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6052
216.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7941
283.6 IPS |
|
|
Text Classification (F32)
|
100% |
2084
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
2074
2.98 KIPS |
|
|
Text Classification (I8)
|
98% |
688
988.9 IPS |
|
|
Machine Translation (F32)
|
100% |
3231
59.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3232
59.5 IPS |
|
|
Machine Translation (I8)
|
67% |
4184
77.0 IPS |
