iPad15,7
Geekbench AI Score
2988
Single Precision Score
3128
Half Precision Score
2905
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 01:31 AM |
| Views | 3 |
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% |
698
129.7 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
96% |
481
89.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2303
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9511
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10341
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9826
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (HP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (Q)
|
92% |
943
75.3 IPS |
|
|
Face Detection (SP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (Q)
|
100% |
3992
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7623
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8026
61.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5832
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17569
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19558
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18955
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2631
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4818
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4850
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
742
12.8 IPS |
