iPad mini (7th generation)
Geekbench AI Score
3876
Single Precision Score
27268
Half Precision Score
37140
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | January 16 2026 12:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
11003
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
14658
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16580
268.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21486
348.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7459
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
106491
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
206484
242.0 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (HP)
|
100% |
13896
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17928
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
34677
412.0 IPS |
|
|
Face Detection (Q)
|
100% |
47734
567.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6831
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78893
607.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
127438
996.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21014
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
207262
266.4 IPS |
|
|
Style Transfer (Q)
|
96% |
251394
324.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4722
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35270
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58085
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7582
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8667
149.8 IPS |
