MinisForum HX90 Fedora Core SYSTEM_MANUFACTURER HX90
Geekbench AI Score
1717
Single Precision Score
1744
Half Precision Score
1335
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | cllee |
| Upload Date | April 04 2025 07:10 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | SYSTEM_MANUFACTURER HX90 |
| Motherboard | Default string HX90 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.68 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.4 IPS |
|
|
Image Classification (Q)
|
99% |
1008
188.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
883
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1877
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1875
2.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
2515
2.95 IPS |
|
|
Object Detection (SP)
|
100% |
1264
100.2 IPS |
|
|
Object Detection (HP)
|
100% |
1183
93.9 IPS |
|
|
Object Detection (Q)
|
85% |
855
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
1871
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
1903
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
2225
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1758
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1815
14.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1715
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2046
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2031
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4394
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1392
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1818
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
716
962.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2062
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (Q)
|
58% |
563
13.2 IPS |
