iPad15,7
Geekbench AI Score
2893
Single Precision Score
3127
Half Precision Score
2946
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 08:20 PM |
| Views | 2 |
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% |
525
97.7 IPS |
|
|
Image Classification (HP)
|
100% |
631
117.3 IPS |
|
|
Image Classification (Q)
|
96% |
582
108.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2281
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9478
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10531
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
9753
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
954
75.7 IPS |
|
|
Object Detection (HP)
|
100% |
863
68.5 IPS |
|
|
Object Detection (Q)
|
92% |
713
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
4759
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
4942
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
4031
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6845
52.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6138
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17540
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19555
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18892
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2824
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2637
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4810
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4874
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
888
15.3 IPS |
