B550M-ITX/ac
Geekbench AI Score
28832
Single Precision Score
39920
Half Precision Score
24993
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | takuya |
| Upload Date | March 23 2025 10:00 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | B550M-ITX/ac |
| Motherboard | ASRock B550M-ITX/ac |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13169
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
15344
2.85 KIPS |
|
|
Image Classification (Q)
|
99% |
11934
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13407
217.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13444
217.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16066
261.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
195362
228.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
582377
679.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
179589
210.4 IPS |
|
|
Object Detection (SP)
|
100% |
12766
1.01 KIPS |
|
|
Object Detection (HP)
|
99% |
17110
1.36 KIPS |
|
|
Object Detection (Q)
|
87% |
11229
901.8 IPS |
|
|
Face Detection (SP)
|
100% |
38443
456.8 IPS |
|
|
Face Detection (HP)
|
100% |
44544
529.3 IPS |
|
|
Face Detection (Q)
|
97% |
34977
417.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
77075
593.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
114682
883.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
65494
524.9 IPS |
|
|
Style Transfer (SP)
|
100% |
343049
441.0 IPS |
|
|
Style Transfer (HP)
|
100% |
661108
849.9 IPS |
|
|
Style Transfer (Q)
|
98% |
321765
414.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47863
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73979
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40709
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2900
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4750
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4720
81.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2827
53.0 IPS |
