iPad15,7
Geekbench AI Score
2836
Single Precision Score
3385
Half Precision Score
3029
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 22 2025 01:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
536
99.8 IPS |
|
|
Image Classification (HP)
|
100% |
866
161.1 IPS |
|
|
Image Classification (Q)
|
96% |
877
163.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2323
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9345
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10372
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9827
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
92% |
736
58.7 IPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
5141
61.1 IPS |
|
|
Face Detection (Q)
|
100% |
4369
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7652
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8054
62.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6278
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17562
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19492
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19066
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2624
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2836
104.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2448
90.4 IPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4767
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4769
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
725
12.5 IPS |
