iPad mini (7th generation)
Geekbench AI Score
3665
Single Precision Score
25007
Half Precision Score
35238
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | DiDidoes |
| Upload Date | March 18 2026 08:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1480
275.3 IPS |
|
|
Image Classification (HP)
|
100% |
10966
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
14637
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16416
266.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21376
346.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6150
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
103214
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
196614
230.4 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.7 IPS |
|
|
Object Detection (HP)
|
100% |
12326
977.7 IPS |
|
|
Object Detection (Q)
|
91% |
18202
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
34869
414.3 IPS |
|
|
Face Detection (Q)
|
100% |
51487
611.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6379
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
69860
538.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
104140
814.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19098
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
200023
257.1 IPS |
|
|
Style Transfer (Q)
|
96% |
246301
317.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4383
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28171
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54319
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5819
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5230
90.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6557
113.3 IPS |
