iPad15,7
Geekbench AI Score
2870
Single Precision Score
3115
Half Precision Score
3128
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 11:13 AM |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (Q)
|
96% |
866
161.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2265
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9306
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10298
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9709
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
92% |
896
71.5 IPS |
|
|
Face Detection (SP)
|
100% |
4667
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
4613
54.8 IPS |
|
|
Face Detection (Q)
|
100% |
4312
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7620
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7982
61.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6131
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17593
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19531
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18871
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2688
99.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2830
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2545
94.0 IPS |
|
|
Text Classification (SP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4771
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4736
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
876
15.1 IPS |
