iPad mini (7th generation)
Geekbench AI Score
3836
Single Precision Score
26732
Half Precision Score
36278
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:53 AM |
| Views | 8 |
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% |
1616
300.5 IPS |
|
|
Image Classification (HP)
|
100% |
10576
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15725
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16885
273.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21502
348.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6926
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
106615
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
206479
242.0 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
13829
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
16884
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
34850
414.1 IPS |
|
|
Face Detection (Q)
|
100% |
47711
566.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6773
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78238
602.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
120028
938.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19806
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
209143
268.9 IPS |
|
|
Style Transfer (Q)
|
96% |
252229
325.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4645
171.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34528
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57159
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5601
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6492
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7244
125.2 IPS |
