iPad15,7
Geekbench AI Score
2958
Single Precision Score
3124
Half Precision Score
2939
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 05:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
747
139.0 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
94% |
477
89.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2228
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9538
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10422
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10073
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1119
88.8 IPS |
|
|
Object Detection (HP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (Q)
|
90% |
920
73.5 IPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
4126
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6690
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6664
51.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6297
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17591
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19458
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19070
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2964
109.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2550
94.2 IPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4837
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4710
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
821
14.2 IPS |
