iPad mini (7th generation)
Geekbench AI Score
4073
Single Precision Score
28399
Half Precision Score
39315
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 29 2026 09:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
10372
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
14798
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16586
268.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22196
359.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7054
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
106926
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
208123
243.9 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
14026
1.11 KIPS |
|
|
Object Detection (Q)
|
89% |
19446
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
35475
421.5 IPS |
|
|
Face Detection (Q)
|
100% |
53249
632.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6749
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78270
603.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
128475
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20096
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
211660
272.1 IPS |
|
|
Style Transfer (Q)
|
96% |
252189
325.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4549
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35704
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56236
2.08 KIPS |
|
|
Text Classification (SP)
|
99% |
5923
7.91 KIPS |
|
|
Text Classification (HP)
|
100% |
9751
13.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9321
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6464
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7339
126.8 IPS |
