iPad14,4
Geekbench AI Score
7454
Single Precision Score
8392
Half Precision Score
7607
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | July 02 2025 02:57 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
3642
677.3 IPS |
|
|
Image Classification (HP)
|
100% |
3644
677.6 IPS |
|
|
Image Classification (Q)
|
96% |
3401
635.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5709
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5870
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5611
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24646
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26727
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26017
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3687
292.4 IPS |
|
|
Object Detection (HP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (Q)
|
92% |
3399
271.3 IPS |
|
|
Face Detection (SP)
|
100% |
10330
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
12088
143.6 IPS |
|
|
Face Detection (Q)
|
100% |
10007
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16827
129.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18325
141.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
16492
128.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42938
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49257
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47898
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9766
360.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10662
393.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8865
327.3 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3773
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1843
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1456
25.2 IPS |
