iPad mini (6th generation)
Geekbench AI Score
3154
Single Precision Score
19790
Half Precision Score
21928
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| 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% |
1286
239.1 IPS |
|
|
Image Classification (HP)
|
100% |
8635
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
10228
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11832
191.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13489
218.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6223
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
81634
95.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
82533
96.7 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
99% |
10693
850.6 IPS |
|
|
Object Detection (Q)
|
91% |
12417
992.2 IPS |
|
|
Face Detection (SP)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
26564
315.6 IPS |
|
|
Face Detection (Q)
|
100% |
33479
397.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5100
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56021
431.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
70121
548.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16929
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
158905
204.3 IPS |
|
|
Style Transfer (Q)
|
96% |
149445
192.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27412
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27565
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2642
3.53 KIPS |
|
|
Text Classification (Q)
|
93% |
2634
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6033
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7139
123.4 IPS |
