AB350 Gaming K4
Geekbench ML Score
8446
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | DieZweiEinen |
| Upload Date | December 18 2025 03:04 AM |
| Views | 4 |
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 | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2671
499.8 IPS |
|
|
Image Classification (F16)
|
100% |
2663
498.3 IPS |
|
|
Image Classification (I8)
|
100% |
2243
419.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
6159
102.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
6147
102.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
5014
83.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
75655
91.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
74314
90.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
56892
68.9 IPS |
|
|
Object Detection (F32)
|
100% |
2697
201.3 IPS |
|
|
Object Detection (F16)
|
100% |
2731
203.9 IPS |
|
|
Object Detection (I8)
|
61% |
2420
180.6 IPS |
|
|
Face Detection (F32)
|
100% |
6798
80.8 IPS |
|
|
Face Detection (F16)
|
100% |
6798
80.8 IPS |
|
|
Face Detection (I8)
|
89% |
5621
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
22298
172.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
22413
173.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
17150
133.0 IPS |
|
|
Style Transfer (F32)
|
100% |
119463
157.1 IPS |
|
|
Style Transfer (F16)
|
100% |
100953
132.8 IPS |
|
|
Style Transfer (I8)
|
98% |
76824
101.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19793
706.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19863
709.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11567
413.1 IPS |
|
|
Text Classification (F32)
|
100% |
1504
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1511
2.17 KIPS |
|
|
Text Classification (I8)
|
98% |
970
1.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
3157
58.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3196
58.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1755
32.3 IPS |
