Valve Jupiter
Geekbench AI Score
868
Single Precision Score
871
Half Precision Score
641
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | rothomp3 |
| Upload Date | October 01 2025 07:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
513
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
99% |
343
63.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
471
7.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
987
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
975
1.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
1022
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
594
47.1 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (Q)
|
85% |
456
36.7 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
1054
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1068
8.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
1070
8.24 IPS |
|
|
Depth Estimation (Q)
|
63% |
846
7.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1511
1.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1504
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
2145
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
600
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
92% |
406
546.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (Q)
|
58% |
335
7.87 IPS |
