iPad15,7
Geekbench AI Score
3569
Single Precision Score
6247
Half Precision Score
5102
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 08:18 PM |
| Views | 2 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.1 IPS |
|
|
Image Classification (Q)
|
96% |
1817
339.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6594
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
14941
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12511
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.5 IPS |
|
|
Object Detection (Q)
|
94% |
2106
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6179
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3507
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6088
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11745
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8166
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18346
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29713
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24712
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3929
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7130
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7051
121.8 IPS |
