iPad15,7
Geekbench AI Score
3585
Single Precision Score
6270
Half Precision Score
5119
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 05:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1460
271.5 IPS |
|
|
Image Classification (HP)
|
100% |
2644
491.6 IPS |
|
|
Image Classification (Q)
|
96% |
1827
341.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6601
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
14791
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12569
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2955
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2111
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6187
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3514
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6148
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11745
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8156
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18412
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29731
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24724
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4016
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5150
190.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3907
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4835
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4790
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7188
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7198
124.4 IPS |
