iPad15,7
Geekbench AI Score
2997
Single Precision Score
3166
Half Precision Score
3166
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:34 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% |
721
134.1 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (Q)
|
96% |
905
169.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2230
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9496
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10329
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10025
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (HP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (Q)
|
92% |
875
69.8 IPS |
|
|
Face Detection (SP)
|
100% |
4728
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
4910
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
4146
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6807
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6657
51.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6665
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17531
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19529
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18934
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2950
108.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2982
110.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2727
100.7 IPS |
|
|
Text Classification (SP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4837
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4798
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
835
14.4 IPS |
