iPad mini (6th generation)
Geekbench AI Score
2953
Single Precision Score
5159
Half Precision Score
4213
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
2238
416.2 IPS |
|
|
Image Classification (Q)
|
96% |
1538
287.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2153
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5372
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
11254
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10536
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.4 IPS |
|
|
Object Detection (HP)
|
97% |
2477
197.2 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
2353
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4971
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
2826
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4900
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10376
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7074
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15411
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23217
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19983
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4521
166.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3274
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4250
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4235
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3217
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5217
90.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5250
90.7 IPS |
