iPad mini (6th generation)
Geekbench AI Score
2724
Single Precision Score
2921
Half Precision Score
2684
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 10:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
677
125.9 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.5 IPS |
|
|
Image Classification (Q)
|
97% |
547
102.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2273
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2257
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10690
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11740
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10966
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1187
94.2 IPS |
|
|
Object Detection (HP)
|
100% |
1077
85.4 IPS |
|
|
Object Detection (Q)
|
91% |
825
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
4018
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4121
49.0 IPS |
|
|
Face Detection (Q)
|
100% |
3598
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7794
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7223
55.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7009
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17964
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21635
27.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20292
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2666
98.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2856
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2576
95.1 IPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4187
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.43 IPS |
|
|
Machine Translation (Q)
|
98% |
319
5.52 IPS |
