Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X
Geekbench AI Score
6508
Single Precision Score
1934
Half Precision Score
10757
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ppowski |
| Upload Date | March 23 2026 11:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5272
980.5 IPS |
|
|
Image Classification (HP)
|
100% |
656
121.9 IPS |
|
|
Image Classification (Q)
|
99% |
8075
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2656
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15045
244.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12982
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5420
6.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
40486
47.5 IPS |
|
|
Object Detection (SP)
|
100% |
5083
403.2 IPS |
|
|
Object Detection (HP)
|
100% |
888
70.5 IPS |
|
|
Object Detection (Q)
|
86% |
9026
725.4 IPS |
|
|
Face Detection (SP)
|
100% |
15877
188.7 IPS |
|
|
Face Detection (HP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
14000
166.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15150
116.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2526
19.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
22186
177.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29547
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13418
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36867
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6585
243.8 IPS |
|
|
Text Classification (SP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1567
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2527
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3955
79.5 IPS |
