iPad15,7
Geekbench AI Score
2969
Single Precision Score
3329
Half Precision Score
3025
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 12:58 PM |
| Views | 5 |
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% |
694
129.1 IPS |
|
|
Image Classification (HP)
|
100% |
863
160.4 IPS |
|
|
Image Classification (Q)
|
96% |
883
164.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2326
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9420
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10312
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9692
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1009
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (Q)
|
92% |
685
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
4957
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
5293
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
4281
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7217
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7802
60.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6237
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17518
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19502
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19020
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2761
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3025
111.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2602
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4774
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4747
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
751
13.0 IPS |
