Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X
Geekbench ML Score
31631
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2025 07:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER 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 |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
14446
2.70 KIPS |
|
|
Image Classification (F16)
|
100% |
14399
2.69 KIPS |
|
|
Image Classification (I8)
|
100% |
12160
2.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
22116
369.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
21738
363.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
20319
339.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
345087
417.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
345245
418.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
270194
327.2 IPS |
|
|
Object Detection (F32)
|
100% |
9338
697.1 IPS |
|
|
Object Detection (F16)
|
100% |
9471
707.0 IPS |
|
|
Object Detection (I8)
|
49% |
8221
613.8 IPS |
|
|
Face Detection (F32)
|
100% |
45946
546.3 IPS |
|
|
Face Detection (F16)
|
100% |
48470
576.3 IPS |
|
|
Face Detection (I8)
|
88% |
36212
430.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
96079
745.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
95829
743.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
68302
529.7 IPS |
|
|
Style Transfer (F32)
|
100% |
505183
664.5 IPS |
|
|
Style Transfer (F16)
|
100% |
505979
665.6 IPS |
|
|
Style Transfer (I8)
|
98% |
427913
562.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
59782
2.14 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
60158
2.15 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
43845
1.57 KIPS |
|
|
Text Classification (F32)
|
100% |
3545
5.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3661
5.26 KIPS |
|
|
Text Classification (I8)
|
98% |
2149
3.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
4994
91.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4998
92.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2864
52.7 IPS |
