iPad14,6
Geekbench AI Score
3335
Single Precision Score
26419
Half Precision Score
29139
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 04:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
14122
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
15584
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19580
317.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24093
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6331
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
102647
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106632
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
15504
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16872
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33646
399.8 IPS |
|
|
Face Detection (Q)
|
100% |
42907
509.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5460
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86673
667.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
104239
814.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18128
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202046
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
189635
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38261
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44935
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4392
75.9 IPS |
