Gigabyte Technology Co., Ltd. Z390 AORUS MASTER
Geekbench AI Score
3306
Single Precision Score
1335
Half Precision Score
4718
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | leibovitz |
| Upload Date | September 06 2025 07:35 AM |
| Views | 7 |
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 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| 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% |
2905
540.2 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
96% |
4027
752.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
5249
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5882
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4561
5.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
10954
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (Q)
|
58% |
2739
299.3 IPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (Q)
|
96% |
6519
77.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7697
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1748
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8986
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13992
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10672
13.7 IPS |
|
|
Style Transfer (Q)
|
87% |
14513
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2433
89.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3831
141.9 IPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1273
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1778
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2079
40.2 IPS |
