Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA
Geekbench ML Score
23209
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 01 2025 08:27 PM |
| Views | 9 |
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 | High performance |
| 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% |
10121
1.89 KIPS |
|
|
Image Classification (F16)
|
100% |
10090
1.89 KIPS |
|
|
Image Classification (I8)
|
100% |
9187
1.72 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18469
308.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
17998
300.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
17042
284.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
162031
196.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
161467
195.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
140031
169.6 IPS |
|
|
Object Detection (F32)
|
100% |
8026
599.2 IPS |
|
|
Object Detection (F16)
|
100% |
7951
593.6 IPS |
|
|
Object Detection (I8)
|
57% |
7499
559.8 IPS |
|
|
Face Detection (F32)
|
100% |
34353
408.5 IPS |
|
|
Face Detection (F16)
|
100% |
35030
416.5 IPS |
|
|
Face Detection (I8)
|
89% |
28836
342.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
63643
493.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
67180
521.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
54989
426.4 IPS |
|
|
Style Transfer (F32)
|
100% |
224635
295.5 IPS |
|
|
Style Transfer (F16)
|
100% |
225241
296.3 IPS |
|
|
Style Transfer (I8)
|
98% |
194442
255.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
40425
1.44 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
41618
1.49 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32558
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
3304
4.75 KIPS |
|
|
Text Classification (F16)
|
100% |
3637
5.23 KIPS |
|
|
Text Classification (I8)
|
98% |
2128
3.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
5527
101.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5422
99.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2971
54.7 IPS |
