B550M-ITX/ac
Geekbench AI Score
20556
Single Precision Score
33075
Half Precision Score
13692
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | moustafaNL |
| Upload Date | November 26 2025 08:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M-ITX/ac |
| Motherboard | ASRock B550M-ITX/ac |
| Power Plan | AMD Ryzen Balanced |
| 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% |
10160
1.89 KIPS |
|
|
Image Classification (HP)
|
100% |
12740
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
7854
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16331
264.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20490
332.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12235
198.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
51591
60.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
235860
275.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
44394
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
13265
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
17169
1.36 KIPS |
|
|
Object Detection (Q)
|
87% |
10127
812.9 IPS |
|
|
Face Detection (SP)
|
100% |
29291
348.0 IPS |
|
|
Face Detection (HP)
|
100% |
40938
486.4 IPS |
|
|
Face Detection (Q)
|
97% |
20324
242.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
64782
499.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101417
781.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
36199
290.1 IPS |
|
|
Style Transfer (SP)
|
100% |
195707
251.6 IPS |
|
|
Style Transfer (HP)
|
100% |
547905
704.3 IPS |
|
|
Style Transfer (Q)
|
98% |
130532
168.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30441
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53721
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16059
594.6 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1769
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1965
36.9 IPS |
