iPad14,4
Geekbench AI Score
3442
Single Precision Score
26327
Half Precision Score
29177
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | huxiaoxi |
| Upload Date | July 09 2025 03:11 PM |
| Views | 5 |
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% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
14699
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
14969
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19697
319.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24056
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6811
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
102192
119.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104860
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
99% |
15076
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17307
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3110
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
32875
390.6 IPS |
|
|
Face Detection (Q)
|
100% |
41513
493.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5546
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84993
654.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
106780
834.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18689
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203462
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193574
249.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38921
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46330
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3815
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3822
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4504
77.8 IPS |
