iPad14,4
Geekbench AI Score
7499
Single Precision Score
8294
Half Precision Score
7893
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | huxiaoxi |
| Upload Date | July 09 2025 03:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3639
676.7 IPS |
|
|
Image Classification (HP)
|
100% |
3710
690.0 IPS |
|
|
Image Classification (Q)
|
96% |
3478
649.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5712
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5881
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5599
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24646
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26724
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26006
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3652
289.7 IPS |
|
|
Object Detection (HP)
|
100% |
3706
293.9 IPS |
|
|
Object Detection (Q)
|
92% |
3341
266.7 IPS |
|
|
Face Detection (SP)
|
100% |
10321
122.6 IPS |
|
|
Face Detection (HP)
|
100% |
11957
142.1 IPS |
|
|
Face Detection (Q)
|
100% |
10055
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16869
130.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18293
140.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16617
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43260
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49261
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47744
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9775
360.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10341
381.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8850
326.8 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3810
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1675
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2064
35.7 IPS |
