iPad15,7
Geekbench AI Score
3555
Single Precision Score
6156
Half Precision Score
5014
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 01:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
2543
472.9 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2626
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6922
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15373
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12929
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2061
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6061
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6092
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11630
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8033
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18995
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29706
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24505
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5108
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3861
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4580
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4616
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3631
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6706
115.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6731
116.3 IPS |
