iPad14,6
Geekbench AI Score
3311
Single Precision Score
26336
Half Precision Score
28637
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 03:51 AM |
| Views | 1 |
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% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
14104
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
15428
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19475
315.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23429
379.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6325
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
103082
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105004
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
99% |
15074
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16560
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
33707
400.5 IPS |
|
|
Face Detection (Q)
|
100% |
40373
479.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5467
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86916
669.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
104453
816.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18114
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204127
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
195201
251.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39774
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44155
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3760
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4174
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4319
74.6 IPS |
