Gigabyte Technology Co., Ltd. Z790 EAGLE AX
Geekbench AI Score
44926
Single Precision Score
66082
Half Precision Score
33385
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 26 2025 10:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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% |
16020
2.98 KIPS |
|
|
Image Classification (HP)
|
100% |
20713
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
13873
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34111
553.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
42726
692.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
31044
504.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
390868
456.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
921369
1.08 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314373
368.2 IPS |
|
|
Object Detection (SP)
|
100% |
21820
1.73 KIPS |
|
|
Object Detection (HP)
|
100% |
27333
2.17 KIPS |
|
|
Object Detection (Q)
|
85% |
18289
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
64179
762.6 IPS |
|
|
Face Detection (HP)
|
100% |
82731
983.0 IPS |
|
|
Face Detection (Q)
|
97% |
51750
617.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
103650
798.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
182370
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74968
600.5 IPS |
|
|
Style Transfer (SP)
|
100% |
580686
746.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1580774
2.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
487605
628.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68418
2.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90520
3.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50309
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4851
6.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2430
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6748
116.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6804
117.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3004
56.3 IPS |
