EVGA Corp. Z390 DARK
Geekbench AI Score
5831
Single Precision Score
5860
Half Precision Score
8542
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 22 2024 09:28 PM |
| Views | 4 |
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, 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% |
3980
740.2 IPS |
|
|
Image Classification (HP)
|
100% |
4032
749.8 IPS |
|
|
Image Classification (Q)
|
100% |
5750
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3896
63.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4014
65.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5717
92.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8522
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
8535
9.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
15842
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3870
306.9 IPS |
|
|
Object Detection (HP)
|
100% |
3858
306.0 IPS |
|
|
Object Detection (Q)
|
87% |
5673
455.0 IPS |
|
|
Face Detection (SP)
|
100% |
7836
93.1 IPS |
|
|
Face Detection (HP)
|
100% |
7884
93.7 IPS |
|
|
Face Detection (Q)
|
97% |
16178
192.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10741
82.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10701
82.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
16603
131.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25234
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25263
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
45166
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5180
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5185
191.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9158
339.2 IPS |
|
|
Text Classification (SP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (Q)
|
91% |
1261
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5097
87.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5002
86.2 IPS |
