iPad15,7
Geekbench AI Score
3397
Single Precision Score
22070
Half Precision Score
24835
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 01 2025 05:40 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
9011
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
10967
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13617
220.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19005
308.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6221
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
96281
112.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102235
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
100% |
12364
980.7 IPS |
|
|
Object Detection (Q)
|
91% |
13788
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
31014
368.5 IPS |
|
|
Face Detection (Q)
|
100% |
38829
461.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5917
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71171
548.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
89002
695.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18246
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
171012
219.8 IPS |
|
|
Style Transfer (Q)
|
96% |
170777
220.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32520
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34738
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2672
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6983
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8112
140.2 IPS |
