Gigabyte Technology Co., Ltd. Z590M GAMING X
Geekbench ML Score
1823
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | julstr |
| Upload Date | December 29 2024 02:04 AM |
| Views | 7 |
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% |
956
178.9 IPS |
|
|
Image Classification (F16)
|
100% |
961
179.7 IPS |
|
|
Image Classification (I8)
|
97% |
1652
309.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
775
12.9 IPS |
|
|
Image Segmentation (I8)
|
97% |
1173
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3124
3.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
3172
3.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
6379
7.72 IPS |
|
|
Object Detection (F32)
|
100% |
975
72.8 IPS |
|
|
Object Detection (F16)
|
100% |
931
69.5 IPS |
|
|
Object Detection (I8)
|
60% |
992
74.1 IPS |
|
|
Face Detection (F32)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (I8)
|
87% |
2694
32.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3418
26.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3224
25.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
5582
43.3 IPS |
|
|
Style Transfer (F32)
|
100% |
8006
10.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8000
10.5 IPS |
|
|
Style Transfer (I8)
|
85% |
10307
13.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1406
50.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1730
61.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2252
80.4 IPS |
|
|
Text Classification (F32)
|
100% |
1141
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
927
1.33 KIPS |
|
|
Text Classification (I8)
|
94% |
283
407.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1209
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1190
21.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1509
27.8 IPS |
