iPad15,7
Geekbench AI Score
3415
Single Precision Score
6246
Half Precision Score
5089
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 03:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2640
490.9 IPS |
|
|
Image Classification (Q)
|
96% |
1814
338.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2665
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6262
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
14804
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12434
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2956
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2111
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6221
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3542
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5870
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11685
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8101
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18162
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29105
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24201
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3821
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3914
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4884
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4867
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7062
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6951
120.1 IPS |
