iPad mini (7th generation)
Geekbench AI Score
3748
Single Precision Score
26912
Half Precision Score
36786
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | existential |
| Upload Date | February 13 2026 11:02 PM |
| Views | 15 |
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 | iPad16,2 |
| Motherboard | J411AP |
| 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% |
1599
297.4 IPS |
|
|
Image Classification (HP)
|
100% |
10745
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15440
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16745
271.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21193
343.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6722
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
107982
126.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
206963
242.6 IPS |
|
|
Object Detection (SP)
|
100% |
1657
131.4 IPS |
|
|
Object Detection (HP)
|
100% |
13907
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17873
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
36162
429.7 IPS |
|
|
Face Detection (Q)
|
100% |
51705
614.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6544
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78276
603.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
125593
981.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19373
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
207543
266.8 IPS |
|
|
Style Transfer (Q)
|
96% |
251878
325.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4512
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34556
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58228
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5640
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6442
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7037
121.6 IPS |
