Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE
Geekbench ML Score
6520
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 21 2024 08:59 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3269
611.8 IPS |
|
|
Image Classification (F16)
|
100% |
3198
598.4 IPS |
|
|
Image Classification (I8)
|
99% |
5455
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2426
40.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2579
43.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4263
71.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
15811
19.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
15686
19.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
54097
65.5 IPS |
|
|
Object Detection (F32)
|
100% |
3146
234.9 IPS |
|
|
Object Detection (F16)
|
100% |
3189
238.1 IPS |
|
|
Object Detection (I8)
|
62% |
2854
213.0 IPS |
|
|
Face Detection (F32)
|
100% |
6439
76.6 IPS |
|
|
Face Detection (F16)
|
100% |
6454
76.7 IPS |
|
|
Face Detection (I8)
|
89% |
6627
78.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
14346
111.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14476
112.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
24841
192.6 IPS |
|
|
Style Transfer (F32)
|
100% |
33935
44.6 IPS |
|
|
Style Transfer (F16)
|
100% |
33932
44.6 IPS |
|
|
Style Transfer (I8)
|
98% |
33644
44.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6440
230.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6470
231.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8107
289.5 IPS |
|
|
Text Classification (F32)
|
100% |
1877
2.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1884
2.71 KIPS |
|
|
Text Classification (I8)
|
98% |
1497
2.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
3088
56.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3182
58.5 IPS |
|
|
Machine Translation (I8)
|
67% |
4737
87.2 IPS |
