EVGA Corp. Z390 DARK
Geekbench AI Score
4194
Single Precision Score
1824
Half Precision Score
3930
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 22 2024 09:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z390 DARK |
| Motherboard | EVGA Corp. Z390 DARK |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.6 IPS |
|
|
Image Classification (Q)
|
96% |
3475
648.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2415
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8799
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6960
8.12 IPS |
|
|
Pose Estimation (Q)
|
87% |
14055
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2839
225.2 IPS |
|
|
Object Detection (HP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (Q)
|
86% |
2316
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (Q)
|
96% |
4885
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9141
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2567
19.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7036
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20130
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16133
20.7 IPS |
|
|
Style Transfer (Q)
|
87% |
20127
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2826
104.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3684
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
568
760.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2703
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2228
49.7 IPS |
