OEM AIO
Geekbench AI Score
2026
Single Precision Score
836
Half Precision Score
4654
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 06:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| 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% |
1766
328.5 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
99% |
4048
755.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4873
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1438
1.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
10603
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
86% |
3683
296.0 IPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
6047
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4103
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1004
7.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
10081
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6849
8.80 IPS |
|
|
Style Transfer (HP)
|
100% |
4243
5.45 IPS |
|
|
Style Transfer (Q)
|
98% |
13290
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3495
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
557
743.0 IPS |
|
|
Text Classification (Q)
|
97% |
1143
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.39 IPS |
|
|
Machine Translation (Q)
|
65% |
1915
38.5 IPS |
