EVGA Corp. Z590 DARK
Geekbench AI Score
3647
Single Precision Score
1565
Half Precision Score
6835
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kalling |
| Upload Date | May 17 2025 05:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EVGA Corp. Z590 DARK |
| Motherboard | EVGA Corp. Z590 DARK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2962
550.8 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.7 IPS |
|
|
Image Classification (Q)
|
99% |
8008
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3191
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6444
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
5187
6.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
23243
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (HP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (Q)
|
86% |
7475
600.8 IPS |
|
|
Face Detection (SP)
|
100% |
4144
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
8556
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8851
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2217
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
15326
122.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14037
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12357
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19669
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2872
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4138
153.2 IPS |
|
|
Text Classification (SP)
|
100% |
1819
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1616
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2907
58.4 IPS |
