iPad15,7
Geekbench AI Score
3046
Single Precision Score
3428
Half Precision Score
3157
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1089
202.5 IPS |
|
|
Image Classification (HP)
|
100% |
985
183.2 IPS |
|
|
Image Classification (Q)
|
96% |
872
162.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2233
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9423
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10313
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10085
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1060
84.1 IPS |
|
|
Object Detection (HP)
|
100% |
1043
82.7 IPS |
|
|
Object Detection (Q)
|
92% |
968
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
4977
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
4094
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6681
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7594
58.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6238
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17549
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19526
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18938
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2895
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2987
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2692
99.4 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4755
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4806
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
828
14.3 IPS |
