iPad15,7
Geekbench AI Score
3066
Single Precision Score
3282
Half Precision Score
3103
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 10:34 AM |
| Views | 3 |
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% |
894
166.3 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.1 IPS |
|
|
Image Classification (Q)
|
96% |
904
168.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2291
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9451
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10352
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9808
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (HP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (Q)
|
92% |
883
70.5 IPS |
|
|
Face Detection (SP)
|
100% |
4857
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
4912
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
4290
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7220
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6415
49.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6322
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17557
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19559
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18937
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2908
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2875
106.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2522
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4894
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4821
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
740
12.8 IPS |
