Valve Jupiter
Geekbench AI Score
820
Single Precision Score
833
Half Precision Score
630
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | dfirebug0 |
| Upload Date | August 05 2025 01:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Custom APU 04053PeiInit Entry |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| 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% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
99% |
341
63.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
469
7.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
985
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
974
1.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
1059
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
85% |
471
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
1126
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
1085
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1053
8.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
1052
8.11 IPS |
|
|
Depth Estimation (Q)
|
63% |
873
8.19 IPS |
|
|
Style Transfer (SP)
|
100% |
1514
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1519
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2189
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
553
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
288
387.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1100
19.0 IPS |
|
|
Machine Translation (Q)
|
58% |
334
7.85 IPS |
