iPad15,7
Geekbench AI Score
2801
Single Precision Score
3367
Half Precision Score
3106
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 12 2025 01:39 PM |
| Views | 6 |
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% |
539
100.3 IPS |
|
|
Image Classification (HP)
|
100% |
943
175.3 IPS |
|
|
Image Classification (Q)
|
96% |
872
162.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2174
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9528
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10461
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10014
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
864
68.6 IPS |
|
|
Object Detection (HP)
|
100% |
1055
83.7 IPS |
|
|
Object Detection (Q)
|
92% |
923
73.7 IPS |
|
|
Face Detection (SP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
5016
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
4129
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6510
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6480
49.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6549
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17672
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19443
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18843
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2897
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2651
97.9 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4793
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4879
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
725
12.5 IPS |
