iPad mini (6th generation)
Geekbench AI Score
3002
Single Precision Score
19165
Half Precision Score
21531
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 01:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1181
219.6 IPS |
|
|
Image Classification (HP)
|
100% |
7479
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
10752
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12626
204.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14236
230.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5420
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
77149
90.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
81139
95.1 IPS |
|
|
Object Detection (SP)
|
100% |
1265
100.4 IPS |
|
|
Object Detection (HP)
|
99% |
10851
863.2 IPS |
|
|
Object Detection (Q)
|
91% |
12539
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
26258
312.0 IPS |
|
|
Face Detection (Q)
|
100% |
33789
401.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4907
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
57163
440.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
65626
512.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15852
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
148638
191.1 IPS |
|
|
Style Transfer (Q)
|
96% |
139968
180.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3567
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29934
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28919
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (Q)
|
93% |
2067
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6268
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7414
128.1 IPS |
