iPad15,7
Geekbench AI Score
3548
Single Precision Score
6171
Half Precision Score
5025
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 12 2025 01:36 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.7 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2623
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15143
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12752
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2914
232.0 IPS |
|
|
Object Detection (Q)
|
94% |
2087
166.3 IPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6042
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6074
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11625
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8018
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18731
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29667
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24471
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5061
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3833
141.5 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4841
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4792
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6671
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6719
116.1 IPS |
