iPad15,7
Geekbench AI Score
2848
Single Precision Score
3204
Half Precision Score
2878
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 05:51 PM |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
96% |
482
89.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2273
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9438
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10380
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9638
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (HP)
|
100% |
887
70.4 IPS |
|
|
Object Detection (Q)
|
92% |
819
65.4 IPS |
|
|
Face Detection (SP)
|
100% |
3736
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
5338
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
4316
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7630
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8088
62.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6351
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17583
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19570
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18902
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2917
107.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2507
92.6 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4814
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4797
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
726
12.5 IPS |
