System76 Thelio
Geekbench AI Score
2008
Single Precision Score
2015
Half Precision Score
1481
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | otakugenx |
| Upload Date | November 05 2024 04:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | System76 Thelio |
| Motherboard | System76 Thelio |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1884
350.4 IPS |
|
|
Image Classification (HP)
|
100% |
1874
348.6 IPS |
|
|
Image Classification (Q)
|
99% |
1044
194.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1005
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2282
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2287
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
3243
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
1868
148.1 IPS |
|
|
Object Detection (Q)
|
85% |
1145
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
2328
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2165
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2213
17.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2022
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2328
2.99 IPS |
|
|
Style Transfer (HP)
|
100% |
2316
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
5243
6.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1552
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
602
809.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (Q)
|
58% |
566
13.3 IPS |
