iPad14,6
Geekbench AI Score
7428
Single Precision Score
8284
Half Precision Score
7546
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | April 10 2025 12:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3651
679.0 IPS |
|
|
Image Classification (HP)
|
100% |
3680
684.3 IPS |
|
|
Image Classification (Q)
|
96% |
3442
642.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5691
92.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5871
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5614
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24640
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26299
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25470
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3654
289.8 IPS |
|
|
Object Detection (HP)
|
100% |
3693
292.9 IPS |
|
|
Object Detection (Q)
|
92% |
3328
265.7 IPS |
|
|
Face Detection (SP)
|
100% |
10331
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
11930
141.8 IPS |
|
|
Face Detection (Q)
|
100% |
9956
118.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16863
129.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17902
137.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
16196
126.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42757
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48557
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47068
60.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9785
361.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10152
374.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8633
318.8 IPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3765
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3747
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1692
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1489
25.7 IPS |
