System76 Thelio Mira
Geekbench AI Score
2914
Single Precision Score
2847
Half Precision Score
2759
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | secdoc_tech |
| Upload Date | February 15 2025 07:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | System76 Thelio Mira |
| Motherboard | System76 Thelio Mira |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.75 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2159
401.4 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.7 IPS |
|
|
Image Classification (Q)
|
99% |
2114
394.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3426
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3387
54.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1870
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3936
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3765
4.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
7136
8.36 IPS |
|
|
Object Detection (SP)
|
100% |
2376
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (Q)
|
85% |
2411
194.1 IPS |
|
|
Face Detection (SP)
|
100% |
3488
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (Q)
|
97% |
4091
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3021
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2894
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3396
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3558
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3502
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
9239
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2333
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2931
108.6 IPS |
|
|
Text Classification (SP)
|
100% |
1907
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1101
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (Q)
|
58% |
908
21.3 IPS |
