iPad15,7
Geekbench AI Score
2854
Single Precision Score
3244
Half Precision Score
3082
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 02:14 AM |
| Views | 5 |
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% |
536
99.7 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
96% |
867
161.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2281
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9497
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10220
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9669
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
993
78.8 IPS |
|
|
Object Detection (HP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (Q)
|
92% |
885
70.6 IPS |
|
|
Face Detection (SP)
|
100% |
3598
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
5046
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
4288
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7236
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7766
59.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6150
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17591
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19496
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18943
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2869
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2917
107.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2465
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
2851
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4868
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
764
13.2 IPS |
