iPad15,7
Geekbench AI Score
2843
Single Precision Score
3351
Half Precision Score
3020
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:29 AM |
| Views | 4 |
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% |
558
103.7 IPS |
|
|
Image Classification (HP)
|
100% |
896
166.6 IPS |
|
|
Image Classification (Q)
|
96% |
887
165.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2333
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9452
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10313
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9597
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
963
76.4 IPS |
|
|
Object Detection (Q)
|
92% |
684
54.6 IPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
5023
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
3935
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7781
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8032
61.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6285
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17503
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19594
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19006
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2949
108.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2479
91.5 IPS |
|
|
Text Classification (SP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4796
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4767
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
838
14.5 IPS |
