EVGA Corp. Z390 DARK
Geekbench AI Score
4190
Single Precision Score
1823
Half Precision Score
3922
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 22 2024 08:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z390 DARK |
| Motherboard | EVGA Corp. Z390 DARK |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2539
472.2 IPS |
|
|
Image Classification (HP)
|
100% |
609
113.2 IPS |
|
|
Image Classification (Q)
|
96% |
3449
644.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2425
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8737
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
6943
8.10 IPS |
|
|
Pose Estimation (Q)
|
87% |
14026
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2822
223.9 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
86% |
2302
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (Q)
|
96% |
4884
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9072
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2565
19.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7006
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20142
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16274
20.9 IPS |
|
|
Style Transfer (Q)
|
87% |
20140
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3438
127.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2813
103.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3675
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
567
759.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2222
49.6 IPS |
