EVGA Corp. Z390 DARK
Geekbench AI Score
5874
Single Precision Score
5859
Half Precision Score
8693
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 22 2024 10:04 PM |
| Views | 23 |
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% |
3981
740.4 IPS |
|
|
Image Classification (HP)
|
100% |
3997
743.4 IPS |
|
|
Image Classification (Q)
|
100% |
5852
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3983
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3884
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5801
94.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8536
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
8589
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
16424
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
3831
303.8 IPS |
|
|
Object Detection (HP)
|
100% |
3836
304.3 IPS |
|
|
Object Detection (Q)
|
87% |
5868
470.6 IPS |
|
|
Face Detection (SP)
|
100% |
7934
94.3 IPS |
|
|
Face Detection (HP)
|
100% |
7916
94.1 IPS |
|
|
Face Detection (Q)
|
97% |
16408
195.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10791
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10742
82.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
16832
132.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25188
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25386
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46648
60.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5238
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5250
193.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9350
346.4 IPS |
|
|
Text Classification (SP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (Q)
|
91% |
1258
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5031
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5024
86.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4975
85.7 IPS |
