iPad14,6
Geekbench AI Score
7487
Single Precision Score
8410
Half Precision Score
7837
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 03:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3553
660.7 IPS |
|
|
Image Classification (HP)
|
100% |
3590
667.6 IPS |
|
|
Image Classification (Q)
|
96% |
3365
628.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5824
94.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6019
97.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5660
91.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24970
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
27008
31.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
26008
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3520
279.2 IPS |
|
|
Object Detection (HP)
|
100% |
3582
284.1 IPS |
|
|
Object Detection (Q)
|
92% |
3409
272.1 IPS |
|
|
Face Detection (SP)
|
100% |
10323
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
12179
144.7 IPS |
|
|
Face Detection (Q)
|
100% |
10082
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16786
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18103
139.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
17023
133.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43085
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49333
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
48089
62.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9635
355.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10015
369.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9310
343.8 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3806
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3792
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1777
30.7 IPS |
