EVGA Corp. Z590 DARK
Geekbench AI Score
5631
Single Precision Score
5611
Half Precision Score
15537
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kalling |
| Upload Date | May 17 2025 05:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz |
| 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% |
3535
657.3 IPS |
|
|
Image Classification (HP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (Q)
|
100% |
10852
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3895
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9879
160.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8078
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
8058
9.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
31595
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
3168
251.3 IPS |
|
|
Object Detection (HP)
|
100% |
3103
246.1 IPS |
|
|
Object Detection (Q)
|
88% |
11319
907.3 IPS |
|
|
Face Detection (SP)
|
100% |
5790
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
5844
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
25334
301.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9653
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9624
74.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
26854
208.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21026
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18483
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
83272
107.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4470
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4508
166.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15663
580.1 IPS |
|
|
Text Classification (SP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (Q)
|
92% |
4891
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4825
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4921
84.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4929
84.9 IPS |
