iPad mini (7th generation)
Geekbench AI Score
3775
Single Precision Score
6900
Half Precision Score
5615
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | January 28 2026 01:14 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1576
293.1 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.8 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3007
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7266
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
15590
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13527
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (HP)
|
97% |
3261
259.6 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6852
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3770
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6431
49.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12729
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8863
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20249
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32535
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26510
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4509
166.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5628
207.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4338
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5792
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5656
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7449
128.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7455
128.8 IPS |
