iPad (11th generation)
Geekbench AI Score
3645
Single Precision Score
22823
Half Precision Score
26598
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:29 AM |
| Views | 7 |
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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
9174
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
11320
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1397
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14901
241.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19676
319.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6213
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
96430
112.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103656
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
12316
976.9 IPS |
|
|
Object Detection (Q)
|
89% |
14360
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
31433
373.5 IPS |
|
|
Face Detection (Q)
|
100% |
45516
540.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5878
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71287
549.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
90390
706.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18496
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
174847
224.8 IPS |
|
|
Style Transfer (Q)
|
96% |
173458
223.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3774
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32573
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35071
1.30 KIPS |
|
|
Text Classification (SP)
|
99% |
5149
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2537
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2588
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7296
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8253
142.6 IPS |
