iPad14,6
Geekbench AI Score
3307
Single Precision Score
26613
Half Precision Score
29247
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 25 2025 06:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
14496
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15515
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19730
319.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24049
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6317
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
101459
118.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
98860
115.9 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
99% |
16013
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17789
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33688
400.3 IPS |
|
|
Face Detection (Q)
|
100% |
42720
507.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5494
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
83737
645.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
102073
797.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18094
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
199866
256.9 IPS |
|
|
Style Transfer (Q)
|
96% |
195246
252.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40161
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47090
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3952
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4406
76.1 IPS |
