iPad15,7
Geekbench AI Score
3485
Single Precision Score
6113
Half Precision Score
4984
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 21 2025 02:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.4 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2621
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6414
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
14559
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12121
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2888
229.9 IPS |
|
|
Object Detection (Q)
|
94% |
2066
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6013
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3452
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5771
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11504
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7954
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18084
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29399
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24306
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3987
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3850
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4773
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4787
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6632
114.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6709
115.9 IPS |
