Valve Jupiter
Geekbench AI Score
863
Single Precision Score
861
Half Precision Score
652
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | unixwizard |
| Upload Date | February 10 2025 01:54 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
514
95.6 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
99% |
353
65.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
492
8.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
965
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
954
1.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
1063
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (Q)
|
85% |
473
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
1132
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1092
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1050
8.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
1048
8.07 IPS |
|
|
Depth Estimation (Q)
|
63% |
867
8.13 IPS |
|
|
Style Transfer (SP)
|
100% |
1513
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1503
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
2185
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
554
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
624
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (Q)
|
92% |
403
541.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (Q)
|
58% |
308
7.24 IPS |
