iPad15,7
Geekbench AI Score
3441
Single Precision Score
22269
Half Precision Score
25517
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 05:13 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
9055
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
10599
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13613
220.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19273
312.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6456
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
100184
116.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102144
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
100% |
12276
973.7 IPS |
|
|
Object Detection (Q)
|
91% |
13787
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
30096
357.6 IPS |
|
|
Face Detection (Q)
|
100% |
37975
451.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6003
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71522
551.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
89703
701.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18747
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
173095
222.5 IPS |
|
|
Style Transfer (Q)
|
96% |
174020
224.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3879
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32435
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35238
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2412
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6969
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8075
139.5 IPS |
