iPad15,7
Geekbench AI Score
2923
Single Precision Score
3290
Half Precision Score
2933
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 21 2025 02:23 AM |
| Views | 8 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
784
145.9 IPS |
|
|
Image Classification (Q)
|
96% |
767
143.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2151
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9504
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10309
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9868
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
999
79.2 IPS |
|
|
Object Detection (HP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (Q)
|
92% |
651
52.0 IPS |
|
|
Face Detection (SP)
|
100% |
4954
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
4949
58.8 IPS |
|
|
Face Detection (Q)
|
100% |
4043
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7181
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7695
59.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6586
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17417
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19485
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18807
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2646
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2905
107.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2567
94.8 IPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4787
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4768
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
726
12.5 IPS |
