iPad15,7
Geekbench AI Score
1509
Single Precision Score
1680
Half Precision Score
1595
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:12 AM |
| Views | 2 |
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% |
572
106.4 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (Q)
|
96% |
901
168.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2360
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9396
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10262
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9717
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (Q)
|
92% |
840
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
4655
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
5125
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
4382
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7604
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8051
62.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6125
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17648
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19619
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19148
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2750
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2504
92.5 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4805
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4788
6.43 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
5.86 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.39 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.46 IPS |
