Valve Jupiter
Geekbench AI Score
1593
Single Precision Score
1596
Half Precision Score
2206
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | sw0000 |
| Upload Date | January 27 2025 12:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Custom APU 0405 AmdCcxVhFf3PeiInit 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% |
1025
190.6 IPS |
|
|
Image Classification (HP)
|
100% |
1026
190.8 IPS |
|
|
Image Classification (Q)
|
100% |
1448
269.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
99% |
921
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2218
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2148
2.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
2944
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (HP)
|
100% |
968
76.8 IPS |
|
|
Object Detection (Q)
|
87% |
1439
115.4 IPS |
|
|
Face Detection (SP)
|
100% |
2281
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2278
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
4231
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2819
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2702
20.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
3712
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6395
8.22 IPS |
|
|
Style Transfer (HP)
|
100% |
6323
8.13 IPS |
|
|
Style Transfer (Q)
|
98% |
8541
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1228
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1805
66.8 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (Q)
|
91% |
1208
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1655
28.5 IPS |
