Gigabyte Technology Co., Ltd. Z790 AORUS PRO X
Geekbench AI Score
5629
Single Precision Score
1784
Half Precision Score
9491
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4694
872.9 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.4 IPS |
|
|
Image Classification (Q)
|
99% |
7241
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12947
210.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11225
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5053
5.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
33915
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
4435
351.8 IPS |
|
|
Object Detection (HP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (Q)
|
86% |
7843
630.4 IPS |
|
|
Face Detection (SP)
|
100% |
13570
161.2 IPS |
|
|
Face Detection (HP)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
11809
140.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12949
99.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2414
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19272
153.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24920
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12559
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30349
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2325
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6272
232.2 IPS |
|
|
Text Classification (SP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1486
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3695
74.3 IPS |
