iPad15,7
Geekbench AI Score
2941
Single Precision Score
3176
Half Precision Score
3044
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:31 PM |
| 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% |
529
98.4 IPS |
|
|
Image Classification (HP)
|
100% |
839
156.0 IPS |
|
|
Image Classification (Q)
|
96% |
875
163.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2295
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9409
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10363
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9760
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (Q)
|
92% |
783
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
4951
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (Q)
|
100% |
4258
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7585
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6653
51.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6224
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17597
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19573
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18885
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2927
108.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2540
93.8 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4769
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4741
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
739
12.8 IPS |
