Valve Jupiter
Geekbench AI Score
1652
Single Precision Score
1613
Half Precision Score
2045
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | rothomp3 |
| Upload Date | October 01 2025 08:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Custom APU 0405 AmdCcxVhFf3PeiInit 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% |
1056
196.4 IPS |
|
|
Image Classification (HP)
|
100% |
1031
191.7 IPS |
|
|
Image Classification (Q)
|
100% |
1458
271.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.40 IPS |
|
|
Image Segmentation (Q)
|
99% |
583
9.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2125
2.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
2940
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (Q)
|
87% |
1471
118.0 IPS |
|
|
Face Detection (SP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
2358
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
4339
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2826
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2781
21.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
3741
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6313
8.12 IPS |
|
|
Style Transfer (HP)
|
100% |
6243
8.03 IPS |
|
|
Style Transfer (Q)
|
98% |
8510
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1809
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (Q)
|
91% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1783
30.7 IPS |
