iPad15,7
Geekbench AI Score
3577
Single Precision Score
6255
Half Precision Score
5098
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:49 PM |
| Views | 8 |
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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1451
269.8 IPS |
|
|
Image Classification (HP)
|
100% |
2621
487.5 IPS |
|
|
Image Classification (Q)
|
96% |
1826
341.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6608
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
14983
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12524
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2924
232.8 IPS |
|
|
Object Detection (Q)
|
94% |
2106
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6166
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6134
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11731
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8098
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18305
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29822
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24622
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4004
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5134
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3917
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4766
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4746
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7050
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7070
122.2 IPS |
