Gigabyte Technology Co., Ltd. Z390 DESIGNARE
Geekbench AI Score
2686
Single Precision Score
1156
Half Precision Score
3798
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 05:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 DESIGNARE |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 DESIGNARE-CF |
| Power Plan | Utilisation normale |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2519
468.4 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
96% |
3951
737.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2245
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4599
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3831
4.47 IPS |
|
|
Pose Estimation (Q)
|
86% |
9499
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
2160
171.3 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
58% |
2702
295.2 IPS |
|
|
Face Detection (SP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
6518
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5473
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1470
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7190
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9536
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7251
9.32 IPS |
|
|
Style Transfer (Q)
|
87% |
11827
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2253
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
1135
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
691
922.0 IPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (Q)
|
68% |
1937
37.4 IPS |
