iPad14,4
Geekbench AI Score
3442
Single Precision Score
26347
Half Precision Score
29190
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 07 2025 05:39 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
14493
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
14848
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19354
313.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24074
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6821
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
103073
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106501
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
99% |
15086
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16959
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
32754
389.2 IPS |
|
|
Face Detection (Q)
|
100% |
41333
491.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84547
651.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
106168
829.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18645
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202283
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194414
250.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3942
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40801
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48586
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4247
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4421
76.4 IPS |
