EVGA Corp. Z790 DARK KINGPIN
Geekbench ML Score
6474
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 16 2024 09:30 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% |
3502
655.4 IPS |
|
|
Image Classification (F16)
|
100% |
3496
654.2 IPS |
|
|
Image Classification (I8)
|
99% |
5377
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2866
47.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2871
48.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4359
72.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
13810
16.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13812
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
44349
53.7 IPS |
|
|
Object Detection (F32)
|
100% |
3385
252.7 IPS |
|
|
Object Detection (F16)
|
100% |
2388
178.3 IPS |
|
|
Object Detection (I8)
|
62% |
2842
212.2 IPS |
|
|
Face Detection (F32)
|
100% |
7741
92.0 IPS |
|
|
Face Detection (F16)
|
100% |
7784
92.6 IPS |
|
|
Face Detection (I8)
|
89% |
7696
91.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
14335
111.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
14306
110.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
24662
191.3 IPS |
|
|
Style Transfer (F32)
|
100% |
32270
42.4 IPS |
|
|
Style Transfer (F16)
|
100% |
33115
43.6 IPS |
|
|
Style Transfer (I8)
|
98% |
42676
56.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6193
221.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6158
219.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7854
280.5 IPS |
|
|
Text Classification (F32)
|
100% |
2119
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (I8)
|
98% |
681
978.5 IPS |
|
|
Machine Translation (F32)
|
100% |
3310
60.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3376
62.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4328
79.6 IPS |
