MAXSUN MS-Challenger A620A 2.5G
Geekbench AI Score
2158
Single Precision Score
2159
Half Precision Score
1485
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | YGRIG |
| Upload Date | October 21 2024 06:23 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu Oracular Oriole (development branch) |
| Model | MAXSUN MS-Challenger A620A 2.5G |
| Motherboard | MAXSUN MS-Challenger A620A 2.5G |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1472
273.8 IPS |
|
|
Image Classification (HP)
|
100% |
1480
275.3 IPS |
|
|
Image Classification (Q)
|
99% |
1008
188.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2535
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2511
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2864
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (Q)
|
85% |
1040
83.7 IPS |
|
|
Face Detection (SP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2334
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2568
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2571
19.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1797
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2969
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2992
3.85 IPS |
|
|
Style Transfer (Q)
|
98% |
5328
6.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1802
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1439
53.3 IPS |
|
|
Text Classification (SP)
|
100% |
1812
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (Q)
|
58% |
651
15.3 IPS |
