EVGA Corp. Z390 DARK
Geekbench AI Score
3837
Single Precision Score
1658
Half Precision Score
3580
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 22 2024 08:50 PM |
| Views | 5 |
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% |
2237
416.0 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (Q)
|
96% |
3126
583.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2205
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8075
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
6200
7.23 IPS |
|
|
Pose Estimation (Q)
|
87% |
12766
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
86% |
2110
169.7 IPS |
|
|
Face Detection (SP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (Q)
|
96% |
4524
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2324
17.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6361
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18410
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14694
18.9 IPS |
|
|
Style Transfer (Q)
|
87% |
18715
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3130
115.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2567
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3348
124.1 IPS |
|
|
Text Classification (SP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
730
973.8 IPS |
|
|
Text Classification (Q)
|
97% |
513
687.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2017
45.0 IPS |
