iPad15,7
Geekbench AI Score
1610
Single Precision Score
1661
Half Precision Score
1621
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 03:19 AM |
| Views | 5 |
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% |
1101
204.7 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.3 IPS |
|
|
Image Classification (Q)
|
96% |
897
167.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2270
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9551
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10599
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10067
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1119
88.8 IPS |
|
|
Object Detection (HP)
|
100% |
1110
88.0 IPS |
|
|
Object Detection (Q)
|
92% |
946
75.5 IPS |
|
|
Face Detection (SP)
|
100% |
4698
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
4958
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
4166
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6817
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6716
51.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6205
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17542
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19505
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19307
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2907
107.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2678
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4759
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.04 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.73 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.91 IPS |
