iPad15,7
Geekbench AI Score
3566
Single Precision Score
6213
Half Precision Score
5038
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 01:19 AM |
| Views | 2 |
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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
2552
474.6 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6846
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15359
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12905
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2921
232.5 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6068
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3480
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6100
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11591
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8015
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18701
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29698
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24452
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4059
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5125
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3871
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
2696
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4854
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4754
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3650
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6866
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6849
118.4 IPS |
