Valve Jupiter
Geekbench AI Score
1176
Single Precision Score
379
Half Precision Score
1679
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | rothomp3 |
| Upload Date | October 01 2025 08:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Custom APU 04053PeiInit Entry |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| 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% |
749
139.3 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (Q)
|
94% |
1319
246.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
118
1.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1053
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2286
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1706
1.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
2689
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
100% |
118
9.39 IPS |
|
|
Object Detection (Q)
|
58% |
921
100.7 IPS |
|
|
Face Detection (SP)
|
100% |
1316
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (Q)
|
96% |
3594
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2383
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
535
4.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
2902
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5350
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4406
5.66 IPS |
|
|
Style Transfer (Q)
|
87% |
5496
7.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1011
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
296
394.8 IPS |
|
|
Text Classification (Q)
|
97% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
68% |
1132
21.9 IPS |
