Gigabyte Technology Co., Ltd. Z390 AORUS MASTER
Geekbench AI Score
2845
Single Precision Score
1194
Half Precision Score
4359
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 10:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 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% |
2276
423.3 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
96% |
3623
676.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
4340
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4528
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3717
4.34 IPS |
|
|
Pose Estimation (Q)
|
86% |
9407
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (Q)
|
58% |
2613
285.5 IPS |
|
|
Face Detection (SP)
|
100% |
4010
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (Q)
|
96% |
6692
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6010
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1565
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8476
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11454
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8438
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
14125
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3397
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
693
925.6 IPS |
|
|
Text Classification (Q)
|
97% |
1118
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1756
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2110
40.8 IPS |
