Valve Jupiter
Geekbench AI Score
1160
Single Precision Score
381
Half Precision Score
1699
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | unixwizard |
| Upload Date | February 10 2025 02:01 PM |
| Views | 7 |
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% |
727
135.2 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (Q)
|
94% |
1323
247.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
1105
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1692
1.97 IPS |
|
|
Pose Estimation (Q)
|
86% |
2786
3.29 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.57 IPS |
|
|
Object Detection (Q)
|
58% |
930
101.6 IPS |
|
|
Face Detection (SP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
198
2.35 IPS |
|
|
Face Detection (Q)
|
96% |
3585
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2362
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
3153
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5302
6.82 IPS |
|
|
Style Transfer (HP)
|
100% |
4425
5.69 IPS |
|
|
Style Transfer (Q)
|
87% |
5308
6.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1063
39.4 IPS |
|
|
Text Classification (SP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
302
403.5 IPS |
|
|
Text Classification (Q)
|
97% |
803
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.11 IPS |
|
|
Machine Translation (Q)
|
68% |
1037
20.0 IPS |
