To Be Filled By O.E.M. B550M Steel Legend
Geekbench AI Score
1093
Single Precision Score
1195
Half Precision Score
758
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | hisyho |
| Upload Date | January 30 2026 07:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | To Be Filled By O.E.M. B550M Steel Legend |
| Motherboard | ASRock B550M Steel Legend |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
890
165.5 IPS |
|
|
Image Classification (Q)
|
99% |
862
160.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
592
9.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
1581
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1553
1.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
1592
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
964
76.5 IPS |
|
|
Object Detection (HP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (Q)
|
85% |
272
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
1594
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1572
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1732
13.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
888
8.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1696
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
1995
2.57 IPS |
|
|
Style Transfer (Q)
|
98% |
3169
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
912
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
1207
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1198
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
294
394.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
58% |
238
5.58 IPS |
