Gigabyte Technology Co., Ltd. Z790 AORUS PRO X
Geekbench ML Score
5051
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:03 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS PRO 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2599
486.3 IPS |
|
|
Image Classification (F16)
|
100% |
2655
496.8 IPS |
|
|
Image Classification (I8)
|
99% |
4396
822.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1974
33.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1886
31.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3617
60.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
10595
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
10574
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
33922
41.1 IPS |
|
|
Object Detection (F32)
|
100% |
2511
187.5 IPS |
|
|
Object Detection (F16)
|
100% |
2500
186.6 IPS |
|
|
Object Detection (I8)
|
62% |
2118
158.1 IPS |
|
|
Face Detection (F32)
|
100% |
5360
63.7 IPS |
|
|
Face Detection (F16)
|
100% |
5346
63.6 IPS |
|
|
Face Detection (I8)
|
89% |
5421
64.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10909
84.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11001
85.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
17803
138.1 IPS |
|
|
Style Transfer (F32)
|
100% |
25476
33.5 IPS |
|
|
Style Transfer (F16)
|
100% |
25029
32.9 IPS |
|
|
Style Transfer (I8)
|
98% |
29451
38.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4700
167.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4700
167.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5962
212.9 IPS |
|
|
Text Classification (F32)
|
100% |
1780
2.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1761
2.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1226
1.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
2347
43.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2307
42.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3587
66.0 IPS |
