Micro-Star International Co., Ltd. Alpha 15 A3DDK
Geekbench AI Score
687
Single Precision Score
695
Half Precision Score
555
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | leftybc |
| Upload Date | August 15 2024 05:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3750H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | Micro-Star International Co., Ltd. Alpha 15 A3DDK |
| Motherboard | Micro-Star International Co., Ltd. MS-16U6 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3750H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 13.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.3 IPS |
|
|
Image Classification (Q)
|
99% |
287
53.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
420
6.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
819
0.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
881
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
86% |
394
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
971
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
959
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
876
6.75 IPS |
|
|
Depth Estimation (HP)
|
100% |
903
6.96 IPS |
|
|
Depth Estimation (Q)
|
74% |
838
6.81 IPS |
|
|
Style Transfer (SP)
|
100% |
1270
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1270
1.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1840
2.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
506
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
683
912.1 IPS |
|
|
Text Classification (HP)
|
100% |
664
885.8 IPS |
|
|
Text Classification (Q)
|
92% |
301
404.5 IPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
58% |
297
6.96 IPS |
