iPad15,7
Geekbench AI Score
2950
Single Precision Score
3273
Half Precision Score
2897
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 21 2025 02:23 AM |
| Views | 11 |
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% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.0 IPS |
|
|
Image Classification (Q)
|
96% |
478
89.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2291
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9464
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10335
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9837
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (HP)
|
100% |
903
71.6 IPS |
|
|
Object Detection (Q)
|
92% |
766
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
4907
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
5291
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
4309
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7543
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7981
61.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6853
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17470
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19473
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18865
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2797
103.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2728
100.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2658
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
2726
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4779
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4751
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
719
12.4 IPS |
