EVGA Corp. Z590 DARK
Geekbench AI Score
3753
Single Precision Score
1568
Half Precision Score
4933
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | OC_Alex2305 |
| Upload Date | February 04 2025 11:53 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EVGA Corp. Z590 DARK |
| Motherboard | EVGA Corp. Z590 DARK |
| Power Plan | Hchstleistung |
| 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% |
3243
603.1 IPS |
|
|
Image Classification (HP)
|
100% |
521
97.0 IPS |
|
|
Image Classification (Q)
|
96% |
5127
957.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2423
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7383
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
6159
7.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
14091
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2842
225.4 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
58% |
3603
393.6 IPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
1342
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
7454
88.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8295
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2176
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10773
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17309
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14694
18.9 IPS |
|
|
Style Transfer (Q)
|
87% |
14492
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3033
112.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2272
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3225
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1370
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1877
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2634
50.9 IPS |
