AB350 Gaming K4
Geekbench AI Score
9796
Single Precision Score
9544
Half Precision Score
6928
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | DieZweiEinen |
| Upload Date | August 18 2024 01:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2620
487.2 IPS |
|
|
Image Classification (HP)
|
100% |
4055
754.2 IPS |
|
|
Image Classification (Q)
|
100% |
2199
408.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6230
101.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6067
98.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5038
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
71281
83.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
38658
45.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
55996
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
3355
266.1 IPS |
|
|
Object Detection (HP)
|
100% |
5035
399.3 IPS |
|
|
Object Detection (Q)
|
89% |
2828
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
6654
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
9811
116.6 IPS |
|
|
Face Detection (Q)
|
97% |
5410
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21879
168.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19352
149.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
15949
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
116576
149.9 IPS |
|
|
Style Transfer (HP)
|
100% |
62688
80.6 IPS |
|
|
Style Transfer (Q)
|
98% |
87276
112.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21357
788.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15758
581.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12333
456.7 IPS |
|
|
Text Classification (SP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1182
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
96% |
3051
52.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1323
29.5 IPS |
