EVGA Corp. Z790 DARK KINGPIN
Geekbench ML Score
6490
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 18 2024 02:57 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% |
3462
647.8 IPS |
|
|
Image Classification (F16)
|
100% |
3461
647.6 IPS |
|
|
Image Classification (I8)
|
99% |
5287
989.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2791
46.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2791
46.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4324
72.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
13876
16.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
13866
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
44399
53.8 IPS |
|
|
Object Detection (F32)
|
100% |
3376
252.0 IPS |
|
|
Object Detection (F16)
|
100% |
3364
251.1 IPS |
|
|
Object Detection (I8)
|
62% |
2820
210.5 IPS |
|
|
Face Detection (F32)
|
100% |
7687
91.4 IPS |
|
|
Face Detection (F16)
|
100% |
7677
91.3 IPS |
|
|
Face Detection (I8)
|
89% |
7612
90.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
14250
110.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
14263
110.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
24438
189.5 IPS |
|
|
Style Transfer (F32)
|
100% |
33216
43.7 IPS |
|
|
Style Transfer (F16)
|
100% |
33123
43.6 IPS |
|
|
Style Transfer (I8)
|
98% |
42642
56.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6058
216.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6143
219.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7850
280.3 IPS |
|
|
Text Classification (F32)
|
100% |
2088
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
2108
3.03 KIPS |
|
|
Text Classification (I8)
|
98% |
681
978.1 IPS |
|
|
Machine Translation (F32)
|
100% |
3271
60.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3253
59.9 IPS |
|
|
Machine Translation (I8)
|
67% |
4094
75.3 IPS |
