iPad15,7
Geekbench AI Score
2807
Single Precision Score
3351
Half Precision Score
3080
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 08 2025 03:09 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (HP)
|
100% |
828
153.9 IPS |
|
|
Image Classification (Q)
|
96% |
895
167.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2311
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9325
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10336
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9812
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1040
82.5 IPS |
|
|
Object Detection (HP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (Q)
|
92% |
749
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
5280
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
4296
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7611
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8007
61.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5977
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17560
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19417
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18830
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2852
105.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2518
93.0 IPS |
|
|
Text Classification (SP)
|
100% |
2854
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4934
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4833
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
859
14.8 IPS |
