iPad mini (7th generation)
Geekbench AI Score
4021
Single Precision Score
28237
Half Precision Score
38961
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 11:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1660
308.6 IPS |
|
|
Image Classification (HP)
|
100% |
10542
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
15779
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16427
266.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22061
357.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6790
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
107190
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
207059
242.7 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
13907
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
18864
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
36270
431.0 IPS |
|
|
Face Detection (Q)
|
100% |
53562
636.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6685
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78069
601.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
128296
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
19353
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
211427
271.8 IPS |
|
|
Style Transfer (Q)
|
96% |
251358
324.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34227
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56552
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
5682
7.58 KIPS |
|
|
Text Classification (HP)
|
99% |
9431
12.6 KIPS |
|
|
Text Classification (Q)
|
92% |
8731
11.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6461
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6951
120.1 IPS |
