iPad14,4
Geekbench AI Score
3442
Single Precision Score
26248
Half Precision Score
29063
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | July 02 2025 03:00 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
14206
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
15228
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19605
317.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23477
380.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6832
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
105424
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106751
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
15069
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16868
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
32718
388.8 IPS |
|
|
Face Detection (Q)
|
100% |
41428
492.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
84637
652.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
105516
824.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18635
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203363
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
193746
250.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3966
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38423
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46164
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3783
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3858
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3678
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4287
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4428
76.5 IPS |
