Valve Galileo
Geekbench AI Score
1598
Single Precision Score
1570
Half Precision Score
2056
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KokomiCat |
| Upload Date | December 22 2025 05:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Custom APU 0932 AmdCcxVhFf3PeiInit 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% |
982
182.7 IPS |
|
|
Image Classification (HP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (Q)
|
100% |
1387
257.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
914
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2146
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2098
2.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
2987
3.50 IPS |
|
|
Object Detection (SP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (HP)
|
100% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
87% |
1410
113.1 IPS |
|
|
Face Detection (SP)
|
100% |
2221
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
4249
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2660
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2643
20.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
3693
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6285
8.08 IPS |
|
|
Style Transfer (HP)
|
100% |
6223
8.00 IPS |
|
|
Style Transfer (Q)
|
98% |
8603
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1229
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1783
66.1 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (Q)
|
91% |
653
877.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1613
27.8 IPS |
