iPad (11th generation)
Geekbench AI Score
3139
Single Precision Score
3541
Half Precision Score
3236
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:13 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
557
103.6 IPS |
|
|
Image Classification (HP)
|
100% |
1028
191.1 IPS |
|
|
Image Classification (Q)
|
94% |
509
95.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2247
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9742
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10346
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10040
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (Q)
|
91% |
975
77.9 IPS |
|
|
Face Detection (SP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
4082
48.5 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6698
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6257
48.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7206
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17761
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19637
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19087
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2936
108.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2560
94.5 IPS |
|
|
Text Classification (SP)
|
99% |
5194
6.93 KIPS |
|
|
Text Classification (HP)
|
100% |
8331
11.1 KIPS |
|
|
Text Classification (Q)
|
92% |
8160
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
827
14.3 IPS |
