Valve Jupiter
Geekbench AI Score
872
Single Precision Score
870
Half Precision Score
644
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | sw0000 |
| Upload Date | January 26 2025 11:53 PM |
| Views | 1 |
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% |
517
96.1 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.8 IPS |
|
|
Image Classification (Q)
|
99% |
349
65.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
486
7.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
1032
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (Q)
|
85% |
458
36.9 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
1064
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1060
8.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.21 IPS |
|
|
Depth Estimation (Q)
|
63% |
850
7.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1525
1.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1522
1.96 IPS |
|
|
Style Transfer (Q)
|
98% |
2154
2.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
559
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
398
534.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1100
18.9 IPS |
|
|
Machine Translation (Q)
|
58% |
329
7.72 IPS |
