Gigabyte Technology Co., Ltd. Z390 DESIGNARE
Geekbench AI Score
3541
Single Precision Score
1426
Half Precision Score
4965
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 07:51 PM |
| Views | 3 |
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% |
2961
550.6 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (Q)
|
96% |
4510
842.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
5328
86.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6470
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5383
6.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
11654
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2857
226.6 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
58% |
2982
325.9 IPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (Q)
|
96% |
7009
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7940
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1794
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9773
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15496
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12550
16.1 IPS |
|
|
Style Transfer (Q)
|
87% |
13477
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2185
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3966
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
1683
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1292
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1930
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2305
44.5 IPS |
