Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA
Geekbench ML Score
5210
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 01 2025 08:25 PM |
| Views | 5 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2618
489.9 IPS |
|
|
Image Classification (F16)
|
100% |
2650
495.9 IPS |
|
|
Image Classification (I8)
|
99% |
4842
906.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2228
37.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2173
36.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3624
60.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10283
12.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
10328
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
35986
43.6 IPS |
|
|
Object Detection (F32)
|
100% |
2521
188.2 IPS |
|
|
Object Detection (F16)
|
100% |
2504
186.9 IPS |
|
|
Object Detection (I8)
|
62% |
2437
181.9 IPS |
|
|
Face Detection (F32)
|
100% |
4932
58.6 IPS |
|
|
Face Detection (F16)
|
100% |
4954
58.9 IPS |
|
|
Face Detection (I8)
|
89% |
5355
63.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
10756
83.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10691
82.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
20269
157.2 IPS |
|
|
Style Transfer (F32)
|
100% |
22861
30.1 IPS |
|
|
Style Transfer (F16)
|
100% |
22941
30.2 IPS |
|
|
Style Transfer (I8)
|
98% |
26835
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4743
169.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4738
169.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6529
233.2 IPS |
|
|
Text Classification (F32)
|
100% |
1764
2.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1672
2.40 KIPS |
|
|
Text Classification (I8)
|
98% |
1527
2.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
2721
50.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2722
50.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4409
81.1 IPS |
