iPad15,7
Geekbench AI Score
3635
Single Precision Score
6286
Half Precision Score
5136
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 12:28 PM |
| Views | 6 |
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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1456
270.8 IPS |
|
|
Image Classification (HP)
|
100% |
2652
493.1 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6859
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
15229
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12887
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.2 IPS |
|
|
Object Detection (HP)
|
97% |
2954
235.2 IPS |
|
|
Object Detection (Q)
|
94% |
2112
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
6188
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3538
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6201
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11734
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8200
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18974
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29873
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24761
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4063
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5115
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3888
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
2850
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4836
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4867
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7104
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7149
123.6 IPS |
