iPad15,7
Geekbench AI Score
3595
Single Precision Score
22023
Half Precision Score
25058
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 07:37 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1451
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
9043
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
10596
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14668
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19064
309.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6668
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
96916
113.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102199
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
12370
981.2 IPS |
|
|
Object Detection (Q)
|
91% |
14389
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
30739
365.3 IPS |
|
|
Face Detection (Q)
|
100% |
38724
460.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6064
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71050
547.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
88194
689.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18666
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
173684
223.3 IPS |
|
|
Style Transfer (Q)
|
96% |
172730
222.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31996
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35107
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2798
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1972
2.63 KIPS |
|
|
Text Classification (Q)
|
93% |
1953
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7052
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8124
140.4 IPS |
