Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE
Geekbench ML Score
4416
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 23 2024 09:05 AM |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2118
396.4 IPS |
|
|
Image Classification (F16)
|
100% |
2142
400.9 IPS |
|
|
Image Classification (I8)
|
99% |
3726
697.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1761
29.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1781
29.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2871
48.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8777
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
8560
10.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
30856
37.4 IPS |
|
|
Object Detection (F32)
|
100% |
2182
162.9 IPS |
|
|
Object Detection (F16)
|
100% |
2211
165.0 IPS |
|
|
Object Detection (I8)
|
62% |
2023
151.0 IPS |
|
|
Face Detection (F32)
|
100% |
5143
61.1 IPS |
|
|
Face Detection (F16)
|
100% |
5184
61.6 IPS |
|
|
Face Detection (I8)
|
89% |
5042
59.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
9198
71.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9005
69.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
17128
132.8 IPS |
|
|
Style Transfer (F32)
|
100% |
20672
27.2 IPS |
|
|
Style Transfer (F16)
|
100% |
19936
26.2 IPS |
|
|
Style Transfer (I8)
|
98% |
26613
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4014
143.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3863
138.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5680
202.9 IPS |
|
|
Text Classification (F32)
|
100% |
1354
1.95 KIPS |
|
|
Text Classification (F16)
|
100% |
1355
1.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1071
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
2306
42.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2317
42.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3383
62.2 IPS |
