iPad15,7
Geekbench AI Score
3172
Single Precision Score
2972
Half Precision Score
2991
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:22 AM |
| Views | 3 |
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% |
1121
208.5 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
96% |
581
108.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2260
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9584
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10389
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10298
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1083
85.9 IPS |
|
|
Object Detection (HP)
|
100% |
824
65.4 IPS |
|
|
Object Detection (Q)
|
92% |
936
74.7 IPS |
|
|
Face Detection (SP)
|
100% |
4712
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
3822
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
4035
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6888
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6458
49.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6301
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17589
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19475
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19048
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2982
110.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3071
113.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2731
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4798
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
714
12.3 IPS |
