iPad mini (6th generation)
Geekbench AI Score
2669
Single Precision Score
2906
Half Precision Score
2729
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 04:21 AM |
| Views | 3 |
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 | iPad14,1 |
| 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% |
637
118.6 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.0 IPS |
|
|
Image Classification (Q)
|
97% |
583
108.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2241
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10847
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11697
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10898
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (Q)
|
91% |
935
74.7 IPS |
|
|
Face Detection (SP)
|
100% |
3901
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (Q)
|
100% |
3599
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7492
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7691
59.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6953
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18059
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21710
27.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20280
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2701
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2644
97.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2493
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4102
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4064
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
98% |
335
5.79 IPS |
