iPad mini (7th generation)
Geekbench AI Score
3813
Single Precision Score
26827
Half Precision Score
35981
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 08 2026 07:07 AM |
| Views | 12 |
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% |
1602
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
11593
2.16 KIPS |
|
|
Image Classification (Q)
|
97% |
14292
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16376
265.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21512
348.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7022
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
106609
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
207262
242.9 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
13937
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18170
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
34473
409.6 IPS |
|
|
Face Detection (Q)
|
100% |
47703
566.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6784
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78241
602.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
122749
959.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20098
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
206887
266.0 IPS |
|
|
Style Transfer (Q)
|
96% |
248251
320.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4601
169.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34793
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52209
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6410
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7540
130.3 IPS |
