Micro-Star International Co., Ltd. Alpha 15 A3DDK
Geekbench AI Score
1255
Single Precision Score
1244
Half Precision Score
1369
Quantized Score
Geekbench AI 1.0.0 for Linux x86 (64-bit)
Result Information
| User | leftybc |
| Upload Date | August 15 2024 06:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3750H with Radeon Vega Mobile Gfx |
| 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% |
737
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
772
143.5 IPS |
|
|
Image Classification (Q)
|
100% |
815
151.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
931
15.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1350
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1284
1.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
1609
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
87% |
815
65.4 IPS |
|
|
Face Detection (SP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
1863
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
2364
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2018
15.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
2012
15.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
2092
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4298
5.52 IPS |
|
|
Style Transfer (HP)
|
100% |
4072
5.24 IPS |
|
|
Style Transfer (Q)
|
98% |
4715
6.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
843
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
995
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (Q)
|
91% |
790
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (Q)
|
90% |
1271
22.1 IPS |
