iPad mini (7th generation)
Geekbench AI Score
4583
Single Precision Score
5251
Half Precision Score
5060
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:27 AM |
| Views | 4 |
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% |
1153
214.4 IPS |
|
|
Image Classification (HP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (Q)
|
96% |
1083
202.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3604
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3881
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3785
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12232
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13962
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13633
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (HP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (Q)
|
91% |
1802
144.0 IPS |
|
|
Face Detection (SP)
|
100% |
6614
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
8832
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
6615
78.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10017
77.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10936
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10381
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26854
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30881
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30526
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4970
183.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3926
145.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4365
161.2 IPS |
|
|
Text Classification (SP)
|
99% |
5834
7.79 KIPS |
|
|
Text Classification (HP)
|
99% |
9236
12.3 KIPS |
|
|
Text Classification (Q)
|
93% |
9200
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1298
22.4 IPS |
