iPad mini (6th generation)
Geekbench AI Score
3167
Single Precision Score
5442
Half Precision Score
4404
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 09 2025 02:25 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1289
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
2240
416.6 IPS |
|
|
Image Classification (Q)
|
96% |
1529
285.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2346
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6194
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
13406
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11336
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
2624
208.9 IPS |
|
|
Object Detection (Q)
|
94% |
1846
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5513
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3069
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5248
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10708
82.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7286
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16918
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25635
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21345
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4393
162.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3346
123.6 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4148
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4162
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3377
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5496
95.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5508
95.2 IPS |
