Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA
Geekbench ML Score
23030
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2025 02:51 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 3.00 MB x 1 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10186
1.91 KIPS |
|
|
Image Classification (F16)
|
100% |
10093
1.89 KIPS |
|
|
Image Classification (I8)
|
100% |
9060
1.70 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17642
294.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
17619
294.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
16346
273.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
161493
195.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
163110
197.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
140918
170.6 IPS |
|
|
Object Detection (F32)
|
100% |
7658
571.7 IPS |
|
|
Object Detection (F16)
|
100% |
7444
555.7 IPS |
|
|
Object Detection (I8)
|
57% |
6922
516.8 IPS |
|
|
Face Detection (F32)
|
100% |
33245
395.3 IPS |
|
|
Face Detection (F16)
|
100% |
32842
390.5 IPS |
|
|
Face Detection (I8)
|
89% |
27454
326.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
64615
501.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
67815
525.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
54878
425.6 IPS |
|
|
Style Transfer (F32)
|
100% |
221816
291.8 IPS |
|
|
Style Transfer (F16)
|
100% |
228243
300.2 IPS |
|
|
Style Transfer (I8)
|
98% |
195181
256.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41615
1.49 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
41282
1.47 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33968
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
3710
5.33 KIPS |
|
|
Text Classification (F16)
|
100% |
3593
5.16 KIPS |
|
|
Text Classification (I8)
|
98% |
2200
3.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
5574
102.6 IPS |
|
|
Machine Translation (F16)
|
100% |
5350
98.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2936
54.0 IPS |
