iPad15,7
Geekbench AI Score
3555
Single Precision Score
6179
Half Precision Score
5033
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 03 2025 07:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
2538
471.9 IPS |
|
|
Image Classification (Q)
|
96% |
1746
326.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2631
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6782
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
15073
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12927
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2916
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3260
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6045
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5994
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11614
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8007
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18802
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29672
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24430
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3870
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4855
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6745
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6796
117.4 IPS |
