iPad14,4
Geekbench AI Score
3452
Single Precision Score
26355
Half Precision Score
29205
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bitbanger |
| Upload Date | December 25 2025 05:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| 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% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
14848
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
14786
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19628
318.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24076
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6847
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
100718
117.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104981
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
15072
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17123
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32959
391.6 IPS |
|
|
Face Detection (Q)
|
100% |
41520
493.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5627
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85429
658.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
106859
835.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18665
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202989
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194201
250.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39124
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47791
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3769
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3759
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4337
74.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4460
77.1 IPS |
