iPad15,7
Geekbench AI Score
3011
Single Precision Score
3178
Half Precision Score
2982
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 01:24 AM |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
746
138.8 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
96% |
575
107.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2244
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9575
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10325
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9976
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
92% |
863
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
4831
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
4934
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
4059
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6910
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6570
50.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6622
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17505
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19524
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18930
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2926
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3012
111.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2675
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4799
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4868
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
756
13.1 IPS |
