iPad14,6
Geekbench AI Score
3289
Single Precision Score
26482
Half Precision Score
28955
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 09:18 AM |
| Views | 11 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
13856
2.58 KIPS |
|
|
Image Classification (Q)
|
96% |
15766
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19668
318.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24037
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6289
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
102081
119.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104987
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
99% |
15390
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16800
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
34082
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
43312
514.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5401
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87216
671.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
102617
801.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18025
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203723
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
192146
248.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38855
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43225
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
2319
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4190
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4353
75.2 IPS |
