EVGA Corp. Z590 DARK
Geekbench AI Score
20565
Single Precision Score
31469
Half Precision Score
12698
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kalling |
| Upload Date | May 17 2025 05:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
7815
1.45 KIPS |
|
|
Image Classification (HP)
|
99% |
11614
2.17 KIPS |
|
|
Image Classification (Q)
|
100% |
5808
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16061
260.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21770
352.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10316
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
127335
148.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
355622
415.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
102397
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
10096
800.8 IPS |
|
|
Object Detection (HP)
|
100% |
13175
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
6900
555.0 IPS |
|
|
Face Detection (SP)
|
100% |
28780
342.0 IPS |
|
|
Face Detection (HP)
|
100% |
41938
498.3 IPS |
|
|
Face Detection (Q)
|
97% |
20207
241.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
54429
419.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98693
760.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
33124
265.4 IPS |
|
|
Style Transfer (SP)
|
100% |
224560
288.7 IPS |
|
|
Style Transfer (HP)
|
100% |
536186
689.3 IPS |
|
|
Style Transfer (Q)
|
98% |
164583
212.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29093
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38563
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17372
643.3 IPS |
|
|
Text Classification (SP)
|
100% |
2492
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3112
4.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3019
52.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1170
21.9 IPS |
