iPad15,7
Geekbench AI Score
3538
Single Precision Score
6168
Half Precision Score
5016
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 29 2025 04:08 PM |
| 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% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
2541
472.5 IPS |
|
|
Image Classification (Q)
|
96% |
1741
325.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2632
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6677
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14963
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12545
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2915
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2071
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6048
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3474
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6055
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11636
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8022
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18468
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29673
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24431
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3835
141.6 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4804
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4829
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6684
115.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6723
116.2 IPS |
