iPad15,7
Geekbench AI Score
2854
Single Precision Score
3201
Half Precision Score
2969
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 05:32 PM |
| Views | 2 |
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% |
527
98.0 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.9 IPS |
|
|
Image Classification (Q)
|
96% |
577
107.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2315
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9469
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10367
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10046
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1096
87.0 IPS |
|
|
Object Detection (HP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (Q)
|
92% |
908
72.5 IPS |
|
|
Face Detection (SP)
|
100% |
4518
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
4853
57.7 IPS |
|
|
Face Detection (Q)
|
100% |
4088
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6770
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6539
50.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6432
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17729
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19428
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18848
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2828
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2986
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2586
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4730
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4728
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
721
12.5 IPS |
