iPad mini (6th generation)
Geekbench AI Score
3158
Single Precision Score
18901
Half Precision Score
21435
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 10:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
8797
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
9958
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11345
183.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14277
231.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6162
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
76866
89.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
80870
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
99% |
10842
862.4 IPS |
|
|
Object Detection (Q)
|
91% |
11990
958.1 IPS |
|
|
Face Detection (SP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
21504
255.5 IPS |
|
|
Face Detection (Q)
|
100% |
30024
356.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5220
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54187
417.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
69760
545.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16990
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
146365
188.2 IPS |
|
|
Style Transfer (Q)
|
96% |
138062
178.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3867
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27276
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29426
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2447
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6132
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7135
123.3 IPS |
