iPad mini (7th generation)
Geekbench AI Score
3991
Single Precision Score
7248
Half Precision Score
5925
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 29 2026 09:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1631
303.3 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3064
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6674
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15412
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13341
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1676
133.0 IPS |
|
|
Object Detection (HP)
|
97% |
3295
262.3 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6864
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3880
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6608
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12788
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9035
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19464
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33165
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28055
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4489
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5570
205.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4367
161.2 IPS |
|
|
Text Classification (SP)
|
99% |
5678
7.58 KIPS |
|
|
Text Classification (HP)
|
99% |
9777
13.0 KIPS |
|
|
Text Classification (Q)
|
92% |
8994
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7099
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7018
121.3 IPS |
