Gigabyte Technology Co., Ltd. Z790 AORUS PRO X
Geekbench AI Score
6002
Single Precision Score
1680
Half Precision Score
9432
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | April 15 2025 02:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4669
868.3 IPS |
|
|
Image Classification (HP)
|
100% |
597
111.0 IPS |
|
|
Image Classification (Q)
|
99% |
8184
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4686
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11800
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4866
5.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
34687
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
4696
372.5 IPS |
|
|
Object Detection (HP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (Q)
|
86% |
8771
704.9 IPS |
|
|
Face Detection (SP)
|
100% |
13298
158.0 IPS |
|
|
Face Detection (HP)
|
100% |
1898
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
13673
163.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13455
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2210
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
21111
168.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26287
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12279
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
35398
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4301
158.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5787
214.3 IPS |
|
|
Text Classification (SP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4339
87.2 IPS |
