iPad14,4
Geekbench AI Score
7454
Single Precision Score
8338
Half Precision Score
7587
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 07 2025 05:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3638
676.6 IPS |
|
|
Image Classification (HP)
|
100% |
3664
681.4 IPS |
|
|
Image Classification (Q)
|
96% |
3407
636.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5726
92.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5905
95.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5620
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24668
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26808
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26011
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3648
289.4 IPS |
|
|
Object Detection (HP)
|
100% |
3711
294.3 IPS |
|
|
Object Detection (Q)
|
92% |
3350
267.4 IPS |
|
|
Face Detection (SP)
|
100% |
10328
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
12127
144.1 IPS |
|
|
Face Detection (Q)
|
100% |
9996
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16817
129.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18140
139.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
16490
128.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42957
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49259
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47773
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9791
361.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10424
384.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8824
325.8 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3735
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1460
25.2 IPS |
