iPad15,7
Geekbench AI Score
3558
Single Precision Score
6248
Half Precision Score
5106
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 27 2025 02:57 AM |
| Views | 5 |
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% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
2628
488.6 IPS |
|
|
Image Classification (Q)
|
96% |
1803
336.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2663
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14924
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12530
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2921
232.5 IPS |
|
|
Object Detection (Q)
|
94% |
2101
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
3328
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
6129
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3518
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6050
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11754
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8126
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18288
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29796
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24662
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5150
190.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3910
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4801
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4890
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7081
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7078
122.3 IPS |
