B550M/ac
Geekbench AI Score
26007
Single Precision Score
38177
Half Precision Score
20062
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Lazar1525 |
| Upload Date | October 04 2024 10:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M/ac |
| Motherboard | ASRock B550M/ac |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10620
1.97 KIPS |
|
|
Image Classification (HP)
|
99% |
14875
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
9212
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16923
274.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20823
337.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15493
251.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
172583
201.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
419087
489.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
155893
182.6 IPS |
|
|
Object Detection (SP)
|
100% |
12529
993.8 IPS |
|
|
Object Detection (HP)
|
100% |
18390
1.46 KIPS |
|
|
Object Detection (Q)
|
89% |
10291
823.8 IPS |
|
|
Face Detection (SP)
|
100% |
31756
377.3 IPS |
|
|
Face Detection (HP)
|
100% |
41928
498.2 IPS |
|
|
Face Detection (Q)
|
97% |
26802
319.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
64685
498.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111100
858.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
50286
405.1 IPS |
|
|
Style Transfer (SP)
|
100% |
285041
366.4 IPS |
|
|
Style Transfer (HP)
|
100% |
655724
842.9 IPS |
|
|
Style Transfer (Q)
|
98% |
254540
328.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43938
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54806
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32505
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3068
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2084
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4616
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1985
44.3 IPS |
