Valve Jupiter
Geekbench AI Score
1181
Single Precision Score
387
Half Precision Score
1659
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | sw0000 |
| Upload Date | January 27 2025 12:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Custom APU 04053PeiInit 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% |
741
137.8 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.6 IPS |
|
|
Image Classification (Q)
|
94% |
1309
244.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1071
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2349
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1759
2.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
2708
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.61 IPS |
|
|
Object Detection (Q)
|
58% |
912
99.6 IPS |
|
|
Face Detection (SP)
|
100% |
1300
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
201
2.39 IPS |
|
|
Face Detection (Q)
|
96% |
3517
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2424
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
540
4.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
2902
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5482
7.05 IPS |
|
|
Style Transfer (HP)
|
100% |
4544
5.84 IPS |
|
|
Style Transfer (Q)
|
87% |
5152
6.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
901
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1044
38.7 IPS |
|
|
Text Classification (SP)
|
100% |
908
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
303
404.6 IPS |
|
|
Text Classification (Q)
|
97% |
793
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
68% |
1048
20.2 IPS |
