iPad15,7
Geekbench AI Score
3575
Single Precision Score
6238
Half Precision Score
5105
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:49 PM |
| Views | 7 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
2641
491.1 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6591
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
14870
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12471
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2932
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2110
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6161
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6077
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11723
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8110
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18513
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29694
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24613
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3993
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3898
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4771
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4809
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7050
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7137
123.3 IPS |
