iPad15,7
Geekbench AI Score
1571
Single Precision Score
1670
Half Precision Score
1599
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1100
204.6 IPS |
|
|
Image Classification (HP)
|
100% |
724
134.7 IPS |
|
|
Image Classification (Q)
|
96% |
908
169.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2207
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9499
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10317
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10040
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.6 IPS |
|
|
Object Detection (HP)
|
100% |
1017
80.7 IPS |
|
|
Object Detection (Q)
|
92% |
958
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
5012
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
3973
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6634
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6684
51.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6149
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17548
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19504
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18947
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2932
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3036
112.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2544
93.9 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4817
6.47 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
5.90 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.37 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.70 IPS |
