iPad15,7
Geekbench AI Score
2902
Single Precision Score
3306
Half Precision Score
3100
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 12 2025 01:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
845
157.1 IPS |
|
|
Image Classification (Q)
|
96% |
875
163.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2191
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9512
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10332
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10015
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1113
88.3 IPS |
|
|
Object Detection (HP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (Q)
|
92% |
867
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
4698
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
4923
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
4094
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6710
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6549
50.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6282
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17637
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19776
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18822
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2704
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2541
93.8 IPS |
|
|
Text Classification (SP)
|
100% |
2700
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4788
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4785
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
837
14.5 IPS |
