iPad15,7
Geekbench AI Score
3599
Single Precision Score
6263
Half Precision Score
5105
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:00 PM |
| Views | 7 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.8 IPS |
|
|
Image Classification (Q)
|
96% |
1815
338.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6681
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
14821
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12649
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2107
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
6187
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3515
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6161
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11715
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8137
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18424
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29834
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24660
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4054
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5151
190.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3893
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4778
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7179
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7091
122.5 IPS |
