Valve Jupiter
Geekbench AI Score
1122
Single Precision Score
372
Half Precision Score
1380
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | CoreRemnant |
| Upload Date | August 15 2024 08:22 PM |
| Views | 5 |
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 | 14.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
695
129.3 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.2 IPS |
|
|
Image Classification (Q)
|
94% |
949
177.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1056
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (Q)
|
87% |
2717
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (HP)
|
100% |
118
9.34 IPS |
|
|
Object Detection (Q)
|
86% |
611
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
198
2.36 IPS |
|
|
Face Detection (Q)
|
96% |
1964
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2251
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
515
3.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
2206
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5185
6.66 IPS |
|
|
Style Transfer (HP)
|
100% |
4329
5.56 IPS |
|
|
Style Transfer (Q)
|
87% |
5132
6.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
833
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
670
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1045
38.7 IPS |
|
|
Text Classification (SP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
292
390.1 IPS |
|
|
Text Classification (Q)
|
97% |
687
920.0 IPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
60% |
944
21.0 IPS |
