iPad15,7
Geekbench AI Score
3618
Single Precision Score
22204
Half Precision Score
24227
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 27 2025 03:01 AM |
| Views | 10 |
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% |
1451
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
8955
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10113
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16262
263.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19085
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6739
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
96348
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102170
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
12382
982.1 IPS |
|
|
Object Detection (Q)
|
91% |
14567
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
30687
364.6 IPS |
|
|
Face Detection (Q)
|
100% |
39031
463.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6188
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71820
553.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
88218
689.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18833
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170254
218.9 IPS |
|
|
Style Transfer (Q)
|
96% |
172647
222.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32259
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35488
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (Q)
|
93% |
1413
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7204
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8136
140.6 IPS |
