iPad15,7
Geekbench AI Score
3587
Single Precision Score
6288
Half Precision Score
5137
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 02:32 PM |
| Views | 4 |
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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6790
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15290
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12973
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2953
235.1 IPS |
|
|
Object Detection (Q)
|
94% |
2119
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6183
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3523
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6213
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11741
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8156
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18545
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29867
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24782
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3916
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4849
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4799
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7159
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7198
124.4 IPS |
