iPad15,7
Geekbench AI Score
2749
Single Precision Score
5694
Half Precision Score
4702
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 12 2025 05:51 PM |
| Views | 10 |
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 | 3.43 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.6 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2327
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5290
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9770
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10049
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
6014
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3417
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5948
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11559
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7770
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17534
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28078
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22415
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3782
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4930
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3570
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2671
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4767
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4753
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6276
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6213
107.4 IPS |
