Micro Computer (HK) Tech Limited HX80G
Geekbench AI Score
1135
Single Precision Score
1097
Half Precision Score
935
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | ygloo |
| Upload Date | January 25 2026 07:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Micro Computer (HK) Tech Limited HX80G |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F6BBA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
717
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.3 IPS |
|
|
Image Classification (Q)
|
99% |
584
108.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
616
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1397
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1391
1.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
1979
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
85% |
582
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1436
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
1377
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1293
9.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1304
10.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1217
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1788
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1786
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3622
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
930
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
914
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1037
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
440
591.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
58% |
445
10.4 IPS |
