iPad mini (6th generation)
Geekbench AI Score
3161
Single Precision Score
18822
Half Precision Score
21121
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 12:37 AM |
| Views | 1 |
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% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
8412
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
10054
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11836
191.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13560
219.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6279
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
77217
90.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
80858
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
99% |
10730
853.5 IPS |
|
|
Object Detection (Q)
|
91% |
11045
882.5 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
21041
250.0 IPS |
|
|
Face Detection (Q)
|
100% |
29814
354.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5258
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
54330
418.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
69944
546.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16938
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
146300
188.1 IPS |
|
|
Style Transfer (Q)
|
96% |
138325
178.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27249
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29391
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2438
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6165
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7023
121.4 IPS |
