Valve Jupiter
Geekbench AI Score
859
Single Precision Score
857
Half Precision Score
643
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | CoreRemnant |
| Upload Date | December 02 2024 09:57 PM |
| Views | 5 |
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 | 14.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
506
94.0 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
99% |
345
64.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
483
7.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
975
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
968
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
1033
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
85% |
458
36.9 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1065
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1038
8.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1037
7.99 IPS |
|
|
Depth Estimation (Q)
|
63% |
852
7.99 IPS |
|
|
Style Transfer (SP)
|
100% |
1513
1.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1509
1.94 IPS |
|
|
Style Transfer (Q)
|
98% |
2152
2.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
604
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
401
538.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
58% |
328
7.71 IPS |
