Valve Jupiter
Geekbench AI Score
868
Single Precision Score
864
Half Precision Score
652
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | BulbousSum |
| Upload Date | December 22 2024 12:49 PM |
| Views | 19 |
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% |
512
95.3 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
99% |
353
65.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
492
8.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
966
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
964
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
1052
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
85% |
468
37.6 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1087
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1044
8.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
1041
8.02 IPS |
|
|
Depth Estimation (Q)
|
63% |
867
8.13 IPS |
|
|
Style Transfer (SP)
|
100% |
1500
1.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1491
1.92 IPS |
|
|
Style Transfer (Q)
|
98% |
2175
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
615
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (Q)
|
92% |
404
543.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (Q)
|
58% |
319
7.48 IPS |
