Valve Galileo
Geekbench AI Score
1343
Single Precision Score
699
Half Precision Score
1761
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KokomiCat |
| Upload Date | December 22 2025 05:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Custom APU 09323PeiInit Entry |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 LTSC (64-bit) |
| Model | Valve Galileo |
| Motherboard | Valve Galileo |
| CPU Information | |
|---|---|
| Name | Intel Pentium II/III |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 145 Stepping 0 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
995
185.1 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.6 IPS |
|
|
Image Classification (Q)
|
96% |
1267
236.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
1665
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2142
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1614
1.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
2541
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.4 IPS |
|
|
Object Detection (Q)
|
58% |
916
100.1 IPS |
|
|
Face Detection (SP)
|
100% |
2128
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (Q)
|
96% |
3047
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2630
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1028
7.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
3019
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4916
6.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3963
5.09 IPS |
|
|
Style Transfer (Q)
|
87% |
5354
6.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1288
47.7 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.5 IPS |
|
|
Text Classification (Q)
|
97% |
776
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (Q)
|
68% |
1189
23.0 IPS |
