iPad15,7
Geekbench AI Score
3072
Single Precision Score
3385
Half Precision Score
3155
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 07:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1100
204.5 IPS |
|
|
Image Classification (HP)
|
100% |
1020
189.7 IPS |
|
|
Image Classification (Q)
|
96% |
898
167.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2207
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9457
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10319
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9935
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (HP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (Q)
|
92% |
902
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
5045
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
4111
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6734
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6517
50.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6494
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17628
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19589
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19226
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2937
108.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3006
111.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2643
97.6 IPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4924
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4881
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
833
14.4 IPS |
