EVGA Corp. Z490 DARK KINGPIN
Geekbench AI Score
4546
Single Precision Score
1754
Half Precision Score
5529
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kicsipapucs |
| Upload Date | March 05 2025 08:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | EVGA Corp. Z490 DARK KINGPIN |
| Motherboard | EVGA Corp. Z490 DARK KINGPIN |
| Power Plan | Kiegyenslyozott |
| 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% |
3678
683.9 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.8 IPS |
|
|
Image Classification (Q)
|
96% |
5294
988.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2653
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9222
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7205
8.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
15696
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3644
289.1 IPS |
|
|
Object Detection (HP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (Q)
|
58% |
3887
424.7 IPS |
|
|
Face Detection (SP)
|
100% |
5743
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (Q)
|
96% |
8520
101.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11049
85.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2426
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12327
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20937
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16636
21.4 IPS |
|
|
Style Transfer (Q)
|
87% |
19656
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3355
123.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3491
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1405
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
68% |
3078
59.5 IPS |
