iPad15,7
Geekbench AI Score
3433
Single Precision Score
6246
Half Precision Score
5107
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2635
490.0 IPS |
|
|
Image Classification (Q)
|
96% |
1819
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6356
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
15096
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12839
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.9 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6132
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3517
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5956
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11718
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8168
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18506
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29175
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23990
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5151
190.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3904
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4805
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7033
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7066
122.1 IPS |
