OEM AIO
Geekbench AI Score
2459
Single Precision Score
8776
Half Precision Score
13636
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 06:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | OEM AIO |
| Motherboard | OEM AIO |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1128
209.8 IPS |
|
|
Image Classification (HP)
|
100% |
6336
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8637
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3107
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3052
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
30591
35.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
65103
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
1186
94.1 IPS |
|
|
Object Detection (HP)
|
100% |
5165
409.7 IPS |
|
|
Object Detection (Q)
|
88% |
9035
724.3 IPS |
|
|
Face Detection (SP)
|
100% |
4206
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
14284
169.7 IPS |
|
|
Face Detection (Q)
|
100% |
26864
319.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4018
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16476
126.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
30372
236.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9477
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
47618
61.2 IPS |
|
|
Style Transfer (Q)
|
98% |
87713
113.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13846
511.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26953
998.2 IPS |
|
|
Text Classification (SP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1797
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1835
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3981
68.6 IPS |
