iPad mini (6th generation)
Geekbench AI Score
3068
Single Precision Score
19399
Half Precision Score
21532
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | March 25 2026 05:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1207
224.5 IPS |
|
|
Image Classification (HP)
|
100% |
8031
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
10053
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12935
209.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14512
235.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5714
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
76442
89.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
80705
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
99% |
11041
878.3 IPS |
|
|
Object Detection (Q)
|
91% |
12161
971.7 IPS |
|
|
Face Detection (SP)
|
100% |
2662
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
25813
306.7 IPS |
|
|
Face Detection (Q)
|
100% |
33110
393.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5009
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55076
424.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
65740
513.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16461
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
149049
191.6 IPS |
|
|
Style Transfer (Q)
|
96% |
144001
185.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3511
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28542
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27448
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2453
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6288
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7092
122.6 IPS |
