Default string Default string
Geekbench AI Score
2114
Single Precision Score
1478
Half Precision Score
5845
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 05:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | Default string Default string |
| Motherboard | Intel Corporation MTL-S UDIMM 1DPC EVCRB |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
788
146.6 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (Q)
|
100% |
4186
778.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3649
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2888
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1865
2.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
10803
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (HP)
|
100% |
781
62.0 IPS |
|
|
Object Detection (Q)
|
88% |
4452
356.9 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
2482
29.5 IPS |
|
|
Face Detection (Q)
|
100% |
7795
92.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3920
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2198
16.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
7150
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7872
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
4717
6.06 IPS |
|
|
Style Transfer (Q)
|
98% |
26818
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1396
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6077
225.1 IPS |
|
|
Text Classification (SP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1101
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
2979
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2344
40.4 IPS |
