B550M-ITX/ac
Geekbench AI Score
3926
Single Precision Score
1646
Half Precision Score
5283
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | takuya |
| Upload Date | March 08 2025 11:00 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| 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% |
3390
630.4 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.0 IPS |
|
|
Image Classification (Q)
|
96% |
5195
970.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2854
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6073
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5095
5.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
12400
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
3072
243.6 IPS |
|
|
Object Detection (HP)
|
100% |
803
63.7 IPS |
|
|
Object Detection (Q)
|
58% |
3625
396.0 IPS |
|
|
Face Detection (SP)
|
100% |
5319
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (Q)
|
96% |
8524
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8463
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2331
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11127
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14817
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12503
16.1 IPS |
|
|
Style Transfer (Q)
|
87% |
14766
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2724
100.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2341
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3386
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
1592
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1645
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2420
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3261
63.0 IPS |
