iPad14,4
Geekbench AI Score
3304
Single Precision Score
26637
Half Precision Score
29104
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | October 31 2025 12:58 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
14998
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15482
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19657
318.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23866
386.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6320
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
105598
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105643
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
99% |
15560
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
16651
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34139
405.6 IPS |
|
|
Face Detection (Q)
|
100% |
42965
510.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5414
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87746
676.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
102553
801.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18123
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201529
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
194370
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3695
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37125
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45838
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3878
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4407
76.2 IPS |
