Gigabyte Technology Co., Ltd. Z390 DESIGNARE
Geekbench AI Score
2712
Single Precision Score
1236
Half Precision Score
4332
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 04:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 DESIGNARE |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 DESIGNARE-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.7 IPS |
|
|
Image Classification (Q)
|
96% |
2668
498.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
4660
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5506
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4879
5.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
10002
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (Q)
|
58% |
2694
294.4 IPS |
|
|
Face Detection (SP)
|
100% |
3472
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (Q)
|
96% |
6112
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5900
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1561
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8394
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10490
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7784
10.0 IPS |
|
|
Style Transfer (Q)
|
87% |
14146
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3667
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
734
979.6 IPS |
|
|
Text Classification (Q)
|
97% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2231
43.1 IPS |
