Default string Default string
Geekbench AI Score
3060
Single Precision Score
1270
Half Precision Score
5313
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 05:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
99% |
5377
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4509
73.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5030
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3621
4.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
17391
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
4328
347.8 IPS |
|
|
Face Detection (SP)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
8357
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5091
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1755
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12682
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11968
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6934
8.91 IPS |
|
|
Style Transfer (Q)
|
98% |
18938
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2217
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3635
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.9 IPS |
|
|
Text Classification (Q)
|
97% |
498
667.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2706
54.4 IPS |
