iPad15,7
Geekbench AI Score
1621
Single Precision Score
1748
Half Precision Score
1526
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 03:05 AM |
| 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% |
1084
201.6 IPS |
|
|
Image Classification (HP)
|
100% |
1024
190.4 IPS |
|
|
Image Classification (Q)
|
96% |
481
89.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2251
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9429
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10389
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10098
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (HP)
|
100% |
1099
87.2 IPS |
|
|
Object Detection (Q)
|
92% |
953
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
5182
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
4162
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6983
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6625
51.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6401
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17547
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19522
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18944
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2953
109.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3044
112.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2738
101.1 IPS |
|
|
Text Classification (SP)
|
100% |
2783
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4816
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.40 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.37 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.46 IPS |
