iPad mini (7th generation)
Geekbench AI Score
4433
Single Precision Score
5321
Half Precision Score
5028
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:06 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1007
187.3 IPS |
|
|
Image Classification (HP)
|
100% |
1457
270.9 IPS |
|
|
Image Classification (Q)
|
96% |
935
174.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3939
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3679
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12240
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14079
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13656
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (HP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (Q)
|
91% |
1587
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
5349
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8769
104.2 IPS |
|
|
Face Detection (Q)
|
100% |
7866
93.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10545
81.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10992
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10283
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26901
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30847
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30158
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4210
155.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3813
140.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4537
167.5 IPS |
|
|
Text Classification (SP)
|
99% |
5698
7.61 KIPS |
|
|
Text Classification (HP)
|
100% |
9183
12.3 KIPS |
|
|
Text Classification (Q)
|
93% |
9640
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1300
22.5 IPS |
