iPad15,7
Geekbench AI Score
2916
Single Precision Score
3395
Half Precision Score
3020
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:40 PM |
| Views | 4 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
862
160.4 IPS |
|
|
Image Classification (Q)
|
96% |
732
136.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2205
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9304
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10371
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9738
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
978
77.6 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
92% |
868
69.3 IPS |
|
|
Face Detection (SP)
|
100% |
4988
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
5196
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
4340
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7215
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7810
60.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6309
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17538
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19598
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18923
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2864
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2798
103.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2600
96.0 IPS |
|
|
Text Classification (SP)
|
100% |
2789
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4812
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4720
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
728
12.6 IPS |
