iPad15,7
Geekbench AI Score
3609
Single Precision Score
6256
Half Precision Score
5051
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 20 2025 03:47 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% |
1442
268.1 IPS |
|
|
Image Classification (HP)
|
100% |
2543
472.8 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2628
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7174
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15911
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13260
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6041
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3472
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6136
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11653
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7973
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19222
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29822
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24517
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4115
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5504
203.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3867
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3677
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6711
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6815
117.8 IPS |
