iPad mini (7th generation)
Geekbench AI Score
3694
Single Precision Score
26695
Half Precision Score
36666
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 09:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
10537
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
15535
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16768
271.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21487
348.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6278
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
104357
121.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
206447
242.0 IPS |
|
|
Object Detection (SP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (HP)
|
100% |
13707
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18037
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
34939
415.1 IPS |
|
|
Face Detection (Q)
|
100% |
48044
570.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6417
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78479
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124359
972.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18988
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206998
266.1 IPS |
|
|
Style Transfer (Q)
|
96% |
250534
323.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4466
164.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35544
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56665
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6537
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7468
129.0 IPS |
