Gigabyte Technology Co., Ltd. Z390 DESIGNARE
Geekbench AI Score
3519
Single Precision Score
1433
Half Precision Score
4634
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tcsenter |
| Upload Date | April 23 2025 11:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| 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% |
2925
544.0 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
96% |
4602
859.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
2556
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6281
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
5285
6.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
12407
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (HP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
58% |
3037
331.8 IPS |
|
|
Face Detection (SP)
|
100% |
3867
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (Q)
|
96% |
7138
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8394
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1878
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10145
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15868
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12841
16.5 IPS |
|
|
Style Transfer (Q)
|
87% |
15324
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2563
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2182
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2872
106.4 IPS |
|
|
Text Classification (SP)
|
100% |
1637
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1366
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1935
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2371
45.8 IPS |
