Gigabyte Technology Co., Ltd. Z390 DESIGNARE
Geekbench AI Score
8872
Single Precision Score
7639
Half Precision Score
6382
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tcsenter |
| Upload Date | April 14 2025 08:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 |
| 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% |
3627
674.6 IPS |
|
|
Image Classification (HP)
|
100% |
3472
645.6 IPS |
|
|
Image Classification (Q)
|
99% |
2961
552.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5931
96.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5542
89.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4843
78.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
40973
47.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26101
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
33764
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
4609
365.6 IPS |
|
|
Object Detection (HP)
|
100% |
4561
361.8 IPS |
|
|
Object Detection (Q)
|
83% |
3790
306.2 IPS |
|
|
Face Detection (SP)
|
100% |
9683
115.1 IPS |
|
|
Face Detection (HP)
|
100% |
9575
113.8 IPS |
|
|
Face Detection (Q)
|
97% |
7943
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22046
169.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17743
136.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16278
129.9 IPS |
|
|
Style Transfer (SP)
|
100% |
73808
94.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50837
65.4 IPS |
|
|
Style Transfer (Q)
|
98% |
57480
74.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12436
459.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10880
401.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8128
301.0 IPS |
|
|
Text Classification (SP)
|
100% |
1359
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1124
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
831
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2800
48.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1217
22.8 IPS |
