iPad15,7
Geekbench AI Score
2953
Single Precision Score
3246
Half Precision Score
2951
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:40 PM |
| Views | 4 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (HP)
|
100% |
854
158.8 IPS |
|
|
Image Classification (Q)
|
96% |
591
110.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2296
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9493
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10310
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9695
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
993
78.8 IPS |
|
|
Object Detection (HP)
|
100% |
911
72.2 IPS |
|
|
Object Detection (Q)
|
92% |
926
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
4984
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
5116
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
3967
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7623
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6690
51.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5993
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17538
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19534
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19025
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2769
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2413
89.1 IPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4830
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4812
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
785
13.6 IPS |
