Valve Jupiter
Geekbench AI Score
858
Single Precision Score
855
Half Precision Score
654
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | CoreRemnant |
| Upload Date | August 15 2024 08:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Custom APU 04053PeiInit Entry |
| System Information | |
|---|---|
| Operating System | SteamOS |
| Model | Valve Jupiter |
| Motherboard | Valve Jupiter |
| CPU Information | |
|---|---|
| Name | Intel Pentium II/III |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 144 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
510
94.9 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
99% |
348
64.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
485
7.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
974
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
1032
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
588
46.6 IPS |
|
|
Object Detection (HP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
86% |
461
37.1 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
1067
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1033
7.96 IPS |
|
|
Depth Estimation (HP)
|
100% |
1034
7.97 IPS |
|
|
Depth Estimation (Q)
|
74% |
974
7.91 IPS |
|
|
Style Transfer (SP)
|
100% |
1503
1.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1510
1.94 IPS |
|
|
Style Transfer (Q)
|
98% |
2147
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
553
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
605
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
92% |
405
543.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
58% |
328
7.69 IPS |
