Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X
Geekbench ML Score
5545
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2025 01:23 PM |
| Views | 4 |
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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2959
553.8 IPS |
|
|
Image Classification (F16)
|
100% |
2970
555.8 IPS |
|
|
Image Classification (I8)
|
99% |
4756
889.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2464
41.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2408
40.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3923
65.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
11772
14.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
11744
14.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
38077
46.1 IPS |
|
|
Object Detection (F32)
|
100% |
2681
200.2 IPS |
|
|
Object Detection (F16)
|
100% |
2688
200.7 IPS |
|
|
Object Detection (I8)
|
62% |
2409
179.8 IPS |
|
|
Face Detection (F32)
|
100% |
5564
66.2 IPS |
|
|
Face Detection (F16)
|
100% |
5449
64.8 IPS |
|
|
Face Detection (I8)
|
89% |
5826
69.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
11501
89.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11888
92.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
19162
148.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27422
36.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26954
35.5 IPS |
|
|
Style Transfer (I8)
|
98% |
30393
40.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5043
180.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5083
181.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6791
242.5 IPS |
|
|
Text Classification (F32)
|
100% |
1917
2.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1914
2.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1368
1.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
2538
46.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2573
47.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3946
72.6 IPS |
