AB350 Gaming K4
Geekbench ML Score
2455
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | DieZweiEinen |
| Upload Date | December 18 2025 03:07 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | AB350 Gaming K4 |
| Motherboard | ASRock AB350 Gaming K4 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 32.0 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% |
1394
260.8 IPS |
|
|
Image Classification (F16)
|
100% |
1323
247.6 IPS |
|
|
Image Classification (I8)
|
97% |
2761
516.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1321
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1335
22.3 IPS |
|
|
Image Segmentation (I8)
|
97% |
1632
27.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3504
4.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
3429
4.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
8884
10.8 IPS |
|
|
Object Detection (F32)
|
100% |
1319
98.4 IPS |
|
|
Object Detection (F16)
|
100% |
1295
96.7 IPS |
|
|
Object Detection (I8)
|
60% |
1355
101.1 IPS |
|
|
Face Detection (F32)
|
100% |
2240
26.6 IPS |
|
|
Face Detection (F16)
|
100% |
2265
26.9 IPS |
|
|
Face Detection (I8)
|
87% |
3622
43.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4400
34.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4073
31.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
8242
63.9 IPS |
|
|
Style Transfer (F32)
|
100% |
8191
10.8 IPS |
|
|
Style Transfer (F16)
|
100% |
9158
12.0 IPS |
|
|
Style Transfer (I8)
|
85% |
12532
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1769
63.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1995
71.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3140
112.1 IPS |
|
|
Text Classification (F32)
|
100% |
1328
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
1210
1.74 KIPS |
|
|
Text Classification (I8)
|
94% |
362
520.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1853
34.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1842
33.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2503
46.1 IPS |
