iPad15,7
Geekbench AI Score
3592
Single Precision Score
6236
Half Precision Score
5097
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 07:18 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% |
1456
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.1 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6605
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
14691
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12540
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2935
233.7 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6176
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3513
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6124
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11700
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8127
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18436
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28232
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23635
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3922
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4932
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4878
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7087
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7140
123.4 IPS |
