iPad15,7
Geekbench AI Score
2897
Single Precision Score
3302
Half Precision Score
2937
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 08 2025 03:09 AM |
| Views | 7 |
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% |
512
95.1 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.3 IPS |
|
|
Image Classification (Q)
|
96% |
559
104.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2277
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9471
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10353
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9790
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (HP)
|
100% |
839
66.6 IPS |
|
|
Object Detection (Q)
|
92% |
803
64.1 IPS |
|
|
Face Detection (SP)
|
100% |
4901
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
4835
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
4190
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7247
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7770
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6475
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17532
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19482
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18878
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2795
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2518
93.0 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4892
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4891
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
758
13.1 IPS |
