Gigabyte Technology Co., Ltd. Z590M GAMING X
Geekbench ML Score
2056
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | julstr |
| Upload Date | December 29 2024 02:12 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590M GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z590M GAMING X |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 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% |
1192
223.0 IPS |
|
|
Image Classification (F16)
|
100% |
1125
210.5 IPS |
|
|
Image Classification (I8)
|
97% |
1777
332.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
860
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
873
14.6 IPS |
|
|
Image Segmentation (I8)
|
97% |
1258
21.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4196
5.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
4142
5.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
7116
8.62 IPS |
|
|
Object Detection (F32)
|
100% |
1183
88.3 IPS |
|
|
Object Detection (F16)
|
100% |
1172
87.5 IPS |
|
|
Object Detection (I8)
|
60% |
1154
86.2 IPS |
|
|
Face Detection (F32)
|
100% |
1729
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (I8)
|
87% |
2793
33.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4297
33.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4358
33.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
6516
50.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9863
13.0 IPS |
|
|
Style Transfer (F16)
|
100% |
9545
12.6 IPS |
|
|
Style Transfer (I8)
|
85% |
10708
14.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1928
68.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1946
69.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2161
77.2 IPS |
|
|
Text Classification (F32)
|
100% |
840
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
845
1.22 KIPS |
|
|
Text Classification (I8)
|
94% |
317
455.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1270
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1389
25.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1646
30.3 IPS |
