Valve Jupiter
Geekbench AI Score
1096
Single Precision Score
348
Half Precision Score
1644
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | anewold |
| Upload Date | June 04 2025 09:14 PM |
| Views | 17 |
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% |
685
127.4 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (Q)
|
94% |
1338
250.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
118
1.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1036
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2212
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1641
1.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
2819
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
713
56.6 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.54 IPS |
|
|
Object Detection (Q)
|
58% |
942
103.0 IPS |
|
|
Face Detection (SP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
194
2.31 IPS |
|
|
Face Detection (Q)
|
96% |
3623
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2288
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
521
4.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
3003
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5063
6.51 IPS |
|
|
Style Transfer (HP)
|
100% |
2973
3.82 IPS |
|
|
Style Transfer (Q)
|
87% |
4994
6.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1010
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
730
973.8 IPS |
|
|
Text Classification (HP)
|
100% |
243
324.5 IPS |
|
|
Text Classification (Q)
|
97% |
673
901.4 IPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
68% |
1061
20.5 IPS |
