iPad15,7
Geekbench AI Score
3415
Single Precision Score
6255
Half Precision Score
5112
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 12 2025 03:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2592
482.0 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6453
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
15074
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12955
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (HP)
|
97% |
2953
235.1 IPS |
|
|
Object Detection (Q)
|
94% |
2130
169.8 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6213
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3543
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5807
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11710
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8147
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18509
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29214
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24307
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5205
192.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3927
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
4833
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4683
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7047
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7071
122.2 IPS |
