EVGA Corp. Z390 DARK
Geekbench AI Score
4215
Single Precision Score
1833
Half Precision Score
3971
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 22 2024 09:11 PM |
| Views | 4 |
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 |
| 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% |
2545
473.2 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.9 IPS |
|
|
Image Classification (Q)
|
96% |
3490
651.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2444
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8801
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6990
8.16 IPS |
|
|
Pose Estimation (Q)
|
87% |
14384
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2834
224.8 IPS |
|
|
Object Detection (HP)
|
100% |
776
61.5 IPS |
|
|
Object Detection (Q)
|
86% |
2346
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (Q)
|
96% |
4895
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9173
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2567
19.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7119
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20137
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16304
21.0 IPS |
|
|
Style Transfer (Q)
|
87% |
20399
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3449
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3703
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2063
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
570
763.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2261
50.4 IPS |
