iPad14,4
Geekbench AI Score
3443
Single Precision Score
5948
Half Precision Score
4809
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
2498
464.6 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2820
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6885
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14854
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12690
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2883
229.5 IPS |
|
|
Object Detection (Q)
|
94% |
2076
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
3128
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6150
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3529
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5645
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11572
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7973
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18847
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28522
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23730
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3627
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3652
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5750
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5725
98.9 IPS |
