iPad14,6
Geekbench AI Score
7436
Single Precision Score
8265
Half Precision Score
7555
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 0xd0cb0e5e |
| Upload Date | April 17 2025 05:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3636
676.2 IPS |
|
|
Image Classification (HP)
|
100% |
3656
679.9 IPS |
|
|
Image Classification (Q)
|
96% |
3387
632.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5714
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5857
94.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5600
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24655
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26282
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25429
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3665
290.7 IPS |
|
|
Object Detection (HP)
|
100% |
3688
292.5 IPS |
|
|
Object Detection (Q)
|
92% |
3325
265.4 IPS |
|
|
Face Detection (SP)
|
100% |
10353
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
11937
141.8 IPS |
|
|
Face Detection (Q)
|
100% |
9894
117.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16813
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17892
137.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
16170
126.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42717
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48559
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47105
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9813
362.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10161
375.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8632
318.7 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3836
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3790
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1534
26.5 IPS |
