Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA
Geekbench ML Score
4776
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2025 02:50 PM |
| Views | 8 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2401
449.3 IPS |
|
|
Image Classification (F16)
|
100% |
2255
422.0 IPS |
|
|
Image Classification (I8)
|
99% |
4831
904.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2058
34.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1963
32.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3081
51.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9588
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10090
12.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
34554
41.8 IPS |
|
|
Object Detection (F32)
|
100% |
2417
180.4 IPS |
|
|
Object Detection (F16)
|
100% |
2448
182.7 IPS |
|
|
Object Detection (I8)
|
62% |
2285
170.6 IPS |
|
|
Face Detection (F32)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (F16)
|
100% |
4809
57.2 IPS |
|
|
Face Detection (I8)
|
89% |
4953
58.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
9759
75.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10513
81.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
17730
137.5 IPS |
|
|
Style Transfer (F32)
|
100% |
22399
29.5 IPS |
|
|
Style Transfer (F16)
|
100% |
21773
28.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26194
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4877
174.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4707
168.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6296
224.8 IPS |
|
|
Text Classification (F32)
|
100% |
1672
2.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1759
2.53 KIPS |
|
|
Text Classification (I8)
|
98% |
557
801.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2594
47.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2592
47.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3835
70.6 IPS |
