iPad15,7
Geekbench AI Score
3614
Single Precision Score
6274
Half Precision Score
5140
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 12:10 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.1 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.2 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6798
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
15088
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12912
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2956
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2113
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
6165
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3532
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6206
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11758
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8173
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18692
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29973
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24791
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3924
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
4784
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4795
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7181
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7214
124.7 IPS |
