iPad15,7
Geekbench AI Score
3033
Single Precision Score
3207
Half Precision Score
2932
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 07:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
828
153.9 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
96% |
475
88.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2197
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9528
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10336
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10040
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (HP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (Q)
|
92% |
943
75.3 IPS |
|
|
Face Detection (SP)
|
100% |
4634
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
4931
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
4072
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6766
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6669
51.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6477
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17531
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19534
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18923
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2888
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2947
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2691
99.3 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4815
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
735
12.7 IPS |
