albuterol - SFF AM4 - Micro-Star International Co., Ltd. MS-7A38 Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
1710
Single Precision Score
1714
Half Precision Score
1090
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | leftybc |
| Upload Date | November 11 2025 06:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (KDE Plasma Desktop Edition) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH PLUS (MS-7A38) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (Q)
|
99% |
697
130.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
801
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1871
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1872
2.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1896
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (Q)
|
85% |
711
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
1932
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
1896
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1857
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1850
14.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1411
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2143
2.76 IPS |
|
|
Style Transfer (HP)
|
100% |
2146
2.76 IPS |
|
|
Style Transfer (Q)
|
98% |
3700
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1534
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1043
38.6 IPS |
|
|
Text Classification (SP)
|
100% |
1572
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1580
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
604
810.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (Q)
|
58% |
505
11.9 IPS |
