iPad15,7
Geekbench AI Score
3460
Single Precision Score
21946
Half Precision Score
25555
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
9326
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
11740
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13932
225.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19239
311.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6483
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
96251
112.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102315
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
12309
976.4 IPS |
|
|
Object Detection (Q)
|
91% |
14492
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
30518
362.6 IPS |
|
|
Face Detection (Q)
|
100% |
38971
463.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5932
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71692
552.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
90737
709.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18810
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170091
218.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172333
222.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32946
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36033
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (Q)
|
93% |
1924
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7347
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8396
145.1 IPS |
