iPad mini (6th generation)
Geekbench AI Score
3178
Single Precision Score
19173
Half Precision Score
22207
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
7609
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
10510
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12974
210.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14775
239.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5957
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
77765
90.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
81132
95.1 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
99% |
10945
870.7 IPS |
|
|
Object Detection (Q)
|
91% |
11930
953.2 IPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
21785
258.8 IPS |
|
|
Face Detection (Q)
|
100% |
33635
399.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5157
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51412
396.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
76920
601.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16730
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
155614
200.0 IPS |
|
|
Style Transfer (Q)
|
96% |
138218
178.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29933
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28979
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2477
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2582
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6184
106.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7254
125.4 IPS |
