iPad mini (7th generation)
Geekbench AI Score
4128
Single Precision Score
4869
Half Precision Score
4464
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | January 28 2026 01:18 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad mini (7th generation) |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
925
171.9 IPS |
|
|
Image Classification (HP)
|
100% |
1377
256.1 IPS |
|
|
Image Classification (Q)
|
96% |
808
150.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3832
62.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3708
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12043
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13725
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13106
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (Q)
|
92% |
1596
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
5077
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
6830
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
6334
75.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10229
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11205
86.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10240
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25950
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29596
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29413
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3470
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5705
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1368
23.6 IPS |
