Valve Jupiter
Geekbench AI Score
1448
Single Precision Score
1432
Half Precision Score
2045
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | CoreRemnant |
| Upload Date | August 15 2024 08:28 PM |
| Views | 6 |
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 | 14.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
957
178.0 IPS |
|
|
Image Classification (HP)
|
100% |
946
175.9 IPS |
|
|
Image Classification (Q)
|
100% |
1429
265.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.31 IPS |
|
|
Image Segmentation (Q)
|
99% |
480
7.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
2040
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1978
2.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
2920
3.43 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
100% |
891
70.7 IPS |
|
|
Object Detection (Q)
|
87% |
1426
114.3 IPS |
|
|
Face Detection (SP)
|
100% |
2121
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
4177
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2543
19.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
2430
18.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
3699
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5805
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
5747
7.39 IPS |
|
|
Style Transfer (Q)
|
98% |
8456
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1158
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1762
65.3 IPS |
|
|
Text Classification (SP)
|
100% |
1076
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1103
1.47 KIPS |
|
|
Text Classification (Q)
|
91% |
1129
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (Q)
|
90% |
1730
30.1 IPS |
