Valve Jupiter
Geekbench AI Score
1619
Single Precision Score
1589
Half Precision Score
2388
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | anewold |
| Upload Date | June 04 2025 09:19 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Custom APU 0405 AmdCcxVhFf3PeiInit 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% |
995
185.0 IPS |
|
|
Image Classification (HP)
|
100% |
991
184.2 IPS |
|
|
Image Classification (Q)
|
100% |
1492
277.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2134
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2084
2.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
3085
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (Q)
|
87% |
1521
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2359
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
4527
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2773
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2709
20.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
3917
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6140
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
6050
7.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8952
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1869
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1324
1.77 KIPS |
|
|
Text Classification (Q)
|
91% |
1097
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1817
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1801
31.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1803
31.1 IPS |
