iPad15,7
Geekbench AI Score
1510
Single Precision Score
1673
Half Precision Score
1520
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 18 2025 11:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
519
96.6 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.7 IPS |
|
|
Image Classification (Q)
|
96% |
876
163.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2352
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9308
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10298
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9786
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1149
91.2 IPS |
|
|
Object Detection (HP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (Q)
|
92% |
887
70.8 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
5337
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
4388
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7239
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7836
60.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6330
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17564
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19581
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19017
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2783
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2918
107.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1472
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4826
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4752
6.38 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
5.89 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.31 IPS |
|
|
Machine Translation (Q)
|
0% |
0
6.20 IPS |
