iPad15,7
Geekbench AI Score
3604
Single Precision Score
6265
Half Precision Score
5122
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 02:11 AM |
| Views | 6 |
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% |
1456
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
2620
487.2 IPS |
|
|
Image Classification (Q)
|
96% |
1817
339.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6681
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15105
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12789
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.7 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
6163
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3511
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6063
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11735
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8146
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18674
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29838
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24808
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4013
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5134
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3932
145.2 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4820
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4785
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7096
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7096
122.6 IPS |
