EVGA Corp. Z490 DARK KINGPIN
Geekbench AI Score
6002
Single Precision Score
5922
Half Precision Score
9101
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 24 2024 09:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10900K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z490 DARK KINGPIN |
| Motherboard | EVGA Corp. Z490 DARK KINGPIN |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4494
835.7 IPS |
|
|
Image Classification (HP)
|
100% |
3990
741.9 IPS |
|
|
Image Classification (Q)
|
100% |
6398
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4193
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4153
67.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6651
108.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9934
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9909
11.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
19710
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
3942
312.7 IPS |
|
|
Object Detection (HP)
|
100% |
3892
308.7 IPS |
|
|
Object Detection (Q)
|
87% |
6802
545.6 IPS |
|
|
Face Detection (SP)
|
100% |
9089
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
9087
108.0 IPS |
|
|
Face Detection (Q)
|
97% |
18906
225.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11028
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11066
85.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
18701
147.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29421
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29469
37.9 IPS |
|
|
Style Transfer (Q)
|
98% |
55515
71.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5917
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5960
220.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10443
386.8 IPS |
|
|
Text Classification (SP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1090
1.45 KIPS |
|
|
Text Classification (Q)
|
91% |
784
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4276
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4256
73.3 IPS |
