iPad mini (7th generation)
Geekbench AI Score
3930
Single Precision Score
28386
Half Precision Score
39931
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 12:25 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1633
303.7 IPS |
|
|
Image Classification (HP)
|
100% |
10422
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
15986
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16549
268.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21902
355.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6398
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
104325
121.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205955
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
1681
133.3 IPS |
|
|
Object Detection (HP)
|
100% |
14060
1.12 KIPS |
|
|
Object Detection (Q)
|
89% |
18836
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
36250
430.7 IPS |
|
|
Face Detection (Q)
|
100% |
57423
682.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6363
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78469
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
129666
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
18518
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
209449
269.2 IPS |
|
|
Style Transfer (Q)
|
96% |
253838
327.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34421
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58421
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
5713
7.63 KIPS |
|
|
Text Classification (HP)
|
99% |
9744
13.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9575
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6721
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7178
124.0 IPS |
