Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE
Geekbench ML Score
6553
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 22 2024 01:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3307
618.9 IPS |
|
|
Image Classification (F16)
|
100% |
3248
607.8 IPS |
|
|
Image Classification (I8)
|
99% |
5237
980.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2586
43.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2644
44.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4368
73.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
15975
19.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
15977
19.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
53815
65.2 IPS |
|
|
Object Detection (F32)
|
100% |
3156
235.6 IPS |
|
|
Object Detection (F16)
|
100% |
3197
238.7 IPS |
|
|
Object Detection (I8)
|
62% |
2854
213.0 IPS |
|
|
Face Detection (F32)
|
100% |
6785
80.7 IPS |
|
|
Face Detection (F16)
|
100% |
6848
81.4 IPS |
|
|
Face Detection (I8)
|
89% |
6667
79.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
14119
109.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
14843
115.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
24809
192.4 IPS |
|
|
Style Transfer (F32)
|
100% |
33949
44.7 IPS |
|
|
Style Transfer (F16)
|
100% |
33712
44.3 IPS |
|
|
Style Transfer (I8)
|
98% |
35787
47.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6423
229.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6309
225.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8155
291.3 IPS |
|
|
Text Classification (F32)
|
100% |
1850
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1825
2.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1466
2.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
3010
55.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3080
56.7 IPS |
|
|
Machine Translation (I8)
|
67% |
4704
86.6 IPS |
