iPad15,7
Geekbench AI Score
3539
Single Precision Score
6196
Half Precision Score
5008
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 12 2025 01:36 PM |
| Views | 4 |
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% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2558
475.7 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2614
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6689
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15065
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12349
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6015
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3467
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6057
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11630
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7999
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18595
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29672
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24517
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5109
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3865
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4924
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4792
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6752
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6741
116.5 IPS |
