EVGA Corp. Z390 DARK
Geekbench AI Score
5834
Single Precision Score
5881
Half Precision Score
8665
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 22 2024 09:56 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 |
| 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% |
3959
736.3 IPS |
|
|
Image Classification (HP)
|
100% |
4054
753.9 IPS |
|
|
Image Classification (Q)
|
100% |
5834
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3994
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5780
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8504
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
8574
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
16398
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
3884
308.1 IPS |
|
|
Object Detection (HP)
|
100% |
3836
304.3 IPS |
|
|
Object Detection (Q)
|
87% |
5893
472.6 IPS |
|
|
Face Detection (SP)
|
100% |
7836
93.1 IPS |
|
|
Face Detection (HP)
|
100% |
7846
93.2 IPS |
|
|
Face Detection (Q)
|
97% |
16310
194.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10758
82.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10818
83.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
16706
131.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25177
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25236
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
46488
59.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5196
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5201
192.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9290
344.1 IPS |
|
|
Text Classification (SP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1669
2.23 KIPS |
|
|
Text Classification (Q)
|
91% |
1254
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4972
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5017
86.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4966
85.5 IPS |
