iPad14,6
Geekbench AI Score
7446
Single Precision Score
8280
Half Precision Score
7763
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Tyu |
| Upload Date | August 13 2025 04:05 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3676
683.7 IPS |
|
|
Image Classification (HP)
|
100% |
3667
681.9 IPS |
|
|
Image Classification (Q)
|
96% |
3339
623.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5794
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5949
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5696
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24489
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26816
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
25983
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3574
283.5 IPS |
|
|
Object Detection (HP)
|
100% |
3594
285.1 IPS |
|
|
Object Detection (Q)
|
92% |
3427
273.5 IPS |
|
|
Face Detection (SP)
|
100% |
10455
124.2 IPS |
|
|
Face Detection (HP)
|
100% |
12035
143.0 IPS |
|
|
Face Detection (Q)
|
100% |
10088
119.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16794
129.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18102
139.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16597
129.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42217
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49137
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47673
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9855
363.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10223
377.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8818
325.6 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3887
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3896
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1712
29.6 IPS |
