BESSTAR TECH LIMITED DMAF5
Geekbench AI Score
244
Single Precision Score
239
Half Precision Score
162
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 12:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 3550H |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | BESSTAR TECH LIMITED DMAF5 |
| Motherboard | BESSTAR TECH LIMITED DMAF5 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3550H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.4 IPS |
|
|
Image Classification (HP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (Q)
|
99% |
81
15.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
124
2.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
258
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
86% |
107
8.58 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (HP)
|
100% |
419
4.98 IPS |
|
|
Face Detection (Q)
|
97% |
290
3.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
337
2.59 IPS |
|
|
Depth Estimation (HP)
|
100% |
325
2.50 IPS |
|
|
Depth Estimation (Q)
|
74% |
232
1.89 IPS |
|
|
Style Transfer (SP)
|
100% |
540
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
514
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
588
0.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
167
6.18 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
137
5.06 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.7 IPS |
|
|
Text Classification (HP)
|
100% |
206
275.2 IPS |
|
|
Text Classification (Q)
|
92% |
88
118.4 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (Q)
|
58% |
99
2.33 IPS |
