Gigabyte Technology Co., Ltd. Z790 EAGLE AX
Geekbench AI Score
22339
Single Precision Score
41324
Half Precision Score
17183
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 01:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 i9-14900K |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9544
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
17953
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
8931
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14672
237.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20479
332.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13585
220.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
116462
135.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
376413
439.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
107822
126.3 IPS |
|
|
Object Detection (SP)
|
100% |
11489
911.3 IPS |
|
|
Object Detection (HP)
|
100% |
20976
1.66 KIPS |
|
|
Object Detection (Q)
|
83% |
9703
784.0 IPS |
|
|
Face Detection (SP)
|
100% |
28314
336.4 IPS |
|
|
Face Detection (HP)
|
100% |
44048
523.4 IPS |
|
|
Face Detection (Q)
|
97% |
24626
293.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
51416
396.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
112991
870.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
42218
337.0 IPS |
|
|
Style Transfer (SP)
|
100% |
173297
222.8 IPS |
|
|
Style Transfer (HP)
|
100% |
592157
761.2 IPS |
|
|
Style Transfer (Q)
|
98% |
149244
192.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34272
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66869
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25564
946.6 IPS |
|
|
Text Classification (SP)
|
100% |
4092
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
5182
6.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2440
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4670
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4899
84.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1827
34.3 IPS |
