Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE
Geekbench ML Score
6586
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 30 2024 07:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2280
426.7 IPS |
|
|
Image Classification (F16)
|
100% |
2435
455.7 IPS |
|
|
Image Classification (I8)
|
99% |
6371
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2672
44.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2682
44.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3668
61.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
28503
34.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
28352
34.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
75299
91.2 IPS |
|
|
Object Detection (F32)
|
100% |
2714
202.6 IPS |
|
|
Object Detection (F16)
|
100% |
2674
199.7 IPS |
|
|
Object Detection (I8)
|
62% |
2922
218.2 IPS |
|
|
Face Detection (F32)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (F16)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (I8)
|
89% |
6734
80.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12410
96.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
12453
96.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
29727
230.5 IPS |
|
|
Style Transfer (F32)
|
100% |
44423
58.4 IPS |
|
|
Style Transfer (F16)
|
100% |
44472
58.5 IPS |
|
|
Style Transfer (I8)
|
98% |
48176
63.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5503
196.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5457
194.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7952
284.0 IPS |
|
|
Text Classification (F32)
|
100% |
2213
3.18 KIPS |
|
|
Text Classification (F16)
|
100% |
2237
3.21 KIPS |
|
|
Text Classification (I8)
|
98% |
542
778.3 IPS |
|
|
Machine Translation (F32)
|
100% |
4020
74.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4076
75.0 IPS |
|
|
Machine Translation (I8)
|
67% |
4837
89.0 IPS |
