iPad15,7
Geekbench AI Score
2984
Single Precision Score
3212
Half Precision Score
2960
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:15 PM |
| Views | 6 |
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% |
696
129.4 IPS |
|
|
Image Classification (HP)
|
100% |
611
113.7 IPS |
|
|
Image Classification (Q)
|
96% |
563
105.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2284
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9381
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10386
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9749
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1040
82.5 IPS |
|
|
Object Detection (HP)
|
100% |
911
72.2 IPS |
|
|
Object Detection (Q)
|
92% |
909
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
4929
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
5326
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
4279
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7208
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6855
52.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6632
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17569
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19510
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18947
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2912
107.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2409
89.0 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4769
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4757
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
737
12.7 IPS |
