iPad15,7
Geekbench AI Score
3594
Single Precision Score
6296
Half Precision Score
5122
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 07:33 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% |
1455
270.5 IPS |
|
|
Image Classification (HP)
|
100% |
2636
490.1 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6700
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15099
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12764
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2951
234.9 IPS |
|
|
Object Detection (Q)
|
94% |
2118
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6152
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3517
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6157
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11776
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8133
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18497
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29811
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24677
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4045
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5339
197.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3957
146.1 IPS |
|
|
Text Classification (SP)
|
100% |
2836
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
4820
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4778
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7089
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7113
122.9 IPS |
