Gigabyte Technology Co., Ltd. Z790 EAGLE AX
Geekbench AI Score
5565
Single Precision Score
1745
Half Precision Score
9412
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Nghayward |
| Upload Date | November 26 2025 11:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| 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% |
4607
856.8 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.1 IPS |
|
|
Image Classification (Q)
|
99% |
7254
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12872
209.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11266
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5149
6.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
34425
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
4358
345.7 IPS |
|
|
Object Detection (HP)
|
100% |
833
66.1 IPS |
|
|
Object Detection (Q)
|
86% |
7839
630.0 IPS |
|
|
Face Detection (SP)
|
100% |
13560
161.1 IPS |
|
|
Face Detection (HP)
|
100% |
1774
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
11676
139.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13056
100.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2396
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18070
144.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25331
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12793
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28463
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6400
237.0 IPS |
|
|
Text Classification (SP)
|
100% |
1683
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1560
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3612
72.6 IPS |
