iPad15,7
Geekbench AI Score
3429
Single Precision Score
6236
Half Precision Score
5097
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:17 AM |
| Views | 3 |
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% |
1360
252.9 IPS |
|
|
Image Classification (HP)
|
100% |
2632
489.5 IPS |
|
|
Image Classification (Q)
|
96% |
1815
338.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6372
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
14952
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12666
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2953
235.1 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6131
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3515
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5974
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11753
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8145
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18287
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29157
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24250
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5097
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3922
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7056
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7000
121.0 IPS |
