iPad mini (6th generation)
Geekbench AI Score
3211
Single Precision Score
3437
Half Precision Score
3382
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 05:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
683
127.0 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (Q)
|
96% |
779
145.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2668
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2634
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10654
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12359
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12103
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (HP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (Q)
|
92% |
1077
86.0 IPS |
|
|
Face Detection (SP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
4307
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8882
68.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8088
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18437
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22660
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22247
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3419
126.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2485
91.8 IPS |
|
|
Text Classification (SP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4383
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4379
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
870
15.0 IPS |
