Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X
Geekbench ML Score
32282
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 01:52 PM |
| Views | 8 |
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% |
14648
2.74 KIPS |
|
|
Image Classification (F16)
|
100% |
14613
2.73 KIPS |
|
|
Image Classification (I8)
|
100% |
12573
2.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
22404
374.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
21748
363.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
20072
335.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
357625
433.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
355807
430.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
287893
348.6 IPS |
|
|
Object Detection (F32)
|
100% |
9367
699.3 IPS |
|
|
Object Detection (F16)
|
100% |
9259
691.3 IPS |
|
|
Object Detection (I8)
|
49% |
8441
630.2 IPS |
|
|
Face Detection (F32)
|
100% |
49237
585.4 IPS |
|
|
Face Detection (F16)
|
100% |
49720
591.2 IPS |
|
|
Face Detection (I8)
|
88% |
38383
456.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
99293
770.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
98435
763.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
75387
584.6 IPS |
|
|
Style Transfer (F32)
|
100% |
510030
670.9 IPS |
|
|
Style Transfer (F16)
|
100% |
526612
692.7 IPS |
|
|
Style Transfer (I8)
|
98% |
453915
597.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
61207
2.19 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
63868
2.28 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
46618
1.66 KIPS |
|
|
Text Classification (F32)
|
100% |
3420
4.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3393
4.88 KIPS |
|
|
Text Classification (I8)
|
98% |
2192
3.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
4821
88.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4830
88.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2888
53.1 IPS |
