iPad mini (6th generation)
Geekbench AI Score
3112
Single Precision Score
5473
Half Precision Score
4437
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1243
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
2239
416.4 IPS |
|
|
Image Classification (Q)
|
96% |
1545
288.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1854
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2306
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5949
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
13658
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11320
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.0 IPS |
|
|
Object Detection (HP)
|
97% |
2604
207.3 IPS |
|
|
Object Detection (Q)
|
94% |
1837
146.4 IPS |
|
|
Face Detection (SP)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5318
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
2976
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5116
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10116
78.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7014
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16341
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26380
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21449
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4581
169.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3473
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4297
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6017
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5986
103.5 IPS |
