SYSTEM_MANUFACTURER HX90
Geekbench AI Score
1762
Single Precision Score
1858
Half Precision Score
1225
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | ygloo |
| Upload Date | January 27 2026 05:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX |
| System Information | |
|---|---|
| Operating System | CachyOS |
| 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 | 58.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
1691
314.5 IPS |
|
|
Image Classification (Q)
|
99% |
808
150.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
909
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2010
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2037
2.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
2233
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
1176
93.3 IPS |
|
|
Object Detection (HP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (Q)
|
85% |
769
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
2209
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
1804
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1832
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1864
14.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1546
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2446
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2447
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
4382
5.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1732
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1362
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
687
923.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2215
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (Q)
|
58% |
528
12.4 IPS |
