iPad15,7
Geekbench AI Score
2947
Single Precision Score
3369
Half Precision Score
3012
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
763
142.0 IPS |
|
|
Image Classification (HP)
|
100% |
877
163.1 IPS |
|
|
Image Classification (Q)
|
96% |
726
135.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2305
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9331
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10360
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9707
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1033
82.0 IPS |
|
|
Object Detection (HP)
|
100% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
92% |
872
69.6 IPS |
|
|
Face Detection (SP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
5052
60.0 IPS |
|
|
Face Detection (Q)
|
100% |
4081
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7608
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7988
61.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6207
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17532
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19579
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18975
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2752
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2783
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2546
94.0 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4900
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4905
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
724
12.5 IPS |
