iPad mini (6th generation)
Geekbench AI Score
2259
Single Precision Score
2350
Half Precision Score
882
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 04:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
662
123.1 IPS |
|
|
Image Classification (HP)
|
100% |
645
120.0 IPS |
|
|
Image Classification (Q)
|
97% |
510
95.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2381
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10678
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11648
13.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
10632
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1027
81.5 IPS |
|
|
Object Detection (HP)
|
100% |
925
73.4 IPS |
|
|
Object Detection (Q)
|
92% |
728
58.1 IPS |
|
|
Face Detection (SP)
|
100% |
3387
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (Q)
|
100% |
3381
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7740
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7399
57.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17827
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21670
27.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20193
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2758
101.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2476
91.4 IPS |
|
|
Text Classification (SP)
|
100% |
359
478.9 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.2 IPS |
|
|
Text Classification (Q)
|
93% |
220
295.4 IPS |
|
|
Machine Translation (SP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
98% |
816
14.1 IPS |
