Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X
Geekbench ML Score
32376
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 09:38 PM |
| Views | 5 |
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% |
14193
2.66 KIPS |
|
|
Image Classification (F16)
|
100% |
14007
2.62 KIPS |
|
|
Image Classification (I8)
|
100% |
12309
2.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
21941
366.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
21800
364.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
20956
350.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
362078
438.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
357672
433.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
287482
348.1 IPS |
|
|
Object Detection (F32)
|
100% |
9446
705.2 IPS |
|
|
Object Detection (F16)
|
100% |
9281
692.9 IPS |
|
|
Object Detection (I8)
|
49% |
8474
632.6 IPS |
|
|
Face Detection (F32)
|
100% |
50234
597.3 IPS |
|
|
Face Detection (F16)
|
100% |
49368
587.0 IPS |
|
|
Face Detection (I8)
|
88% |
41354
491.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
101241
785.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
99655
772.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
73679
571.4 IPS |
|
|
Style Transfer (F32)
|
100% |
524107
689.4 IPS |
|
|
Style Transfer (F16)
|
100% |
534135
702.6 IPS |
|
|
Style Transfer (I8)
|
98% |
458487
603.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
61930
2.21 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
62111
2.22 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
46345
1.66 KIPS |
|
|
Text Classification (F32)
|
100% |
3297
4.74 KIPS |
|
|
Text Classification (F16)
|
100% |
3556
5.11 KIPS |
|
|
Text Classification (I8)
|
98% |
2128
3.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
4842
89.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4922
90.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2880
53.0 IPS |
