EVGA Corp. Z390 DARK
Geekbench AI Score
5815
Single Precision Score
5827
Half Precision Score
8647
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 22 2024 10:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz |
| 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 |
| 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% |
4034
750.2 IPS |
|
|
Image Classification (HP)
|
100% |
4024
748.3 IPS |
|
|
Image Classification (Q)
|
100% |
5833
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3956
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3990
64.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5780
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8541
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
8553
9.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
16384
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
3780
299.8 IPS |
|
|
Object Detection (HP)
|
100% |
3814
302.5 IPS |
|
|
Object Detection (Q)
|
87% |
5843
468.6 IPS |
|
|
Face Detection (SP)
|
100% |
7879
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
7884
93.7 IPS |
|
|
Face Detection (Q)
|
97% |
16365
195.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10687
82.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10695
82.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
16892
133.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25193
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25324
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46451
59.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5197
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5201
192.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9299
344.4 IPS |
|
|
Text Classification (SP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1577
2.11 KIPS |
|
|
Text Classification (Q)
|
91% |
1219
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5039
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4979
85.8 IPS |
