iPad (11th generation)
Geekbench AI Score
3667
Single Precision Score
22855
Half Precision Score
26858
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 08:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad (11th generation) |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | Apple A16 |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
9371
1.74 KIPS |
|
|
Image Classification (Q)
|
97% |
11916
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16271
263.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19610
317.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6281
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
97778
114.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102177
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
12160
964.5 IPS |
|
|
Object Detection (Q)
|
89% |
14254
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
28613
340.0 IPS |
|
|
Face Detection (Q)
|
100% |
46238
549.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5903
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
72460
558.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
92675
724.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18538
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
173791
223.4 IPS |
|
|
Style Transfer (Q)
|
96% |
174070
224.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32975
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35423
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
5288
7.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2629
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7184
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8262
142.8 IPS |
