ACEMAGIC F3A Default string Default string
Geekbench AI Score
1424
Single Precision Score
1364
Half Precision Score
1076
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | vm666 |
| Upload Date | June 26 2025 11:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 78.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
974
181.1 IPS |
|
|
Image Classification (HP)
|
100% |
963
179.1 IPS |
|
|
Image Classification (Q)
|
99% |
771
143.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1737
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
2097
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
839
66.5 IPS |
|
|
Object Detection (HP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (Q)
|
85% |
749
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1792
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
1660
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1658
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1848
14.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1277
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3036
3.90 IPS |
|
|
Style Transfer (HP)
|
100% |
2930
3.77 IPS |
|
|
Style Transfer (Q)
|
98% |
4338
5.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
979
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
950
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
501
673.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1668
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (Q)
|
58% |
478
11.2 IPS |
