iPad15,7
Geekbench AI Score
1507
Single Precision Score
1682
Half Precision Score
1605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 01:57 AM |
| Views | 8 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
736
136.8 IPS |
|
|
Image Classification (HP)
|
100% |
1011
188.1 IPS |
|
|
Image Classification (Q)
|
96% |
901
168.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2225
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9576
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10400
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9981
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
1046
83.0 IPS |
|
|
Object Detection (Q)
|
92% |
939
74.9 IPS |
|
|
Face Detection (SP)
|
100% |
3386
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3667
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
4097
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6729
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6659
51.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6400
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17509
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19504
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18951
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2979
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3044
112.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2559
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
2791
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4777
6.41 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.20 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.75 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.88 IPS |
