Valve Galileo
Geekbench AI Score
886
Single Precision Score
898
Half Precision Score
642
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 06:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Custom APU 09323PeiInit Entry |
| System Information | |
|---|---|
| Operating System | SteamOS |
| 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 | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.4 IPS |
|
|
Image Classification (Q)
|
99% |
355
66.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
495
8.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
1076
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1068
1.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
1083
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.3 IPS |
|
|
Object Detection (Q)
|
85% |
479
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
1108
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1158
8.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1153
8.88 IPS |
|
|
Depth Estimation (Q)
|
63% |
874
8.20 IPS |
|
|
Style Transfer (SP)
|
100% |
1646
2.12 IPS |
|
|
Style Transfer (HP)
|
100% |
1643
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
2224
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
605
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
633
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
92% |
288
386.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
58% |
335
7.86 IPS |
