iPad15,7
Geekbench AI Score
2875
Single Precision Score
3228
Half Precision Score
2784
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 01:24 PM |
| Views | 2 |
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% |
719
133.8 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.2 IPS |
|
|
Image Classification (Q)
|
96% |
475
88.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2303
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9246
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10341
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9749
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.8 IPS |
|
|
Object Detection (HP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (Q)
|
92% |
711
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
5220
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3435
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7632
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8063
62.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6133
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17534
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19525
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18985
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2808
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2891
106.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2536
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
2788
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4842
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4852
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
752
13.0 IPS |
