iPad mini (6th generation)
Geekbench AI Score
3163
Single Precision Score
19543
Half Precision Score
22199
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
7680
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
10617
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12712
206.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14488
234.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5963
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
82526
96.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
82708
96.9 IPS |
|
|
Object Detection (SP)
|
100% |
1399
110.9 IPS |
|
|
Object Detection (HP)
|
99% |
10793
858.5 IPS |
|
|
Object Detection (Q)
|
91% |
12067
964.2 IPS |
|
|
Face Detection (SP)
|
100% |
2662
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
26222
311.6 IPS |
|
|
Face Detection (Q)
|
100% |
32729
388.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5164
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55910
430.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
75259
588.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16977
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
146814
188.7 IPS |
|
|
Style Transfer (Q)
|
96% |
149798
193.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3706
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27982
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29143
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2554
3.41 KIPS |
|
|
Text Classification (Q)
|
93% |
2537
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6077
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6940
119.9 IPS |
