iPad14,6
Geekbench AI Score
2727
Single Precision Score
25155
Half Precision Score
24003
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 06:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
13465
2.50 KIPS |
|
|
Image Classification (Q)
|
96% |
15843
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19762
320.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23908
387.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6296
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
106015
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106019
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
99% |
15009
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
15932
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
30944
367.7 IPS |
|
|
Face Detection (Q)
|
100% |
34777
413.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3860
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71208
548.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
27400
214.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18103
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205393
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
166406
214.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32615
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45774
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3766
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4162
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3631
62.8 IPS |
