OEM AIO
Geekbench AI Score
5381
Single Precision Score
8633
Half Precision Score
13030
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 06:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3752
697.7 IPS |
|
|
Image Classification (HP)
|
100% |
5574
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7556
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3865
62.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8629
139.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10947
177.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11200
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
10343
12.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
35510
41.6 IPS |
|
|
Object Detection (SP)
|
100% |
3465
274.8 IPS |
|
|
Object Detection (HP)
|
100% |
5578
442.5 IPS |
|
|
Object Detection (Q)
|
88% |
8760
702.0 IPS |
|
|
Face Detection (SP)
|
100% |
7885
93.7 IPS |
|
|
Face Detection (HP)
|
100% |
15348
182.4 IPS |
|
|
Face Detection (Q)
|
100% |
23057
274.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11909
91.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
20825
161.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
24094
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27832
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37810
48.6 IPS |
|
|
Style Transfer (Q)
|
98% |
82648
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4945
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8775
324.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14367
532.1 IPS |
|
|
Text Classification (SP)
|
71% |
1445
2.09 KIPS |
|
|
Text Classification (HP)
|
71% |
2297
3.32 KIPS |
|
|
Text Classification (Q)
|
92% |
2442
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1940
33.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3403
58.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3404
58.8 IPS |
