iPad15,7
Geekbench AI Score
3601
Single Precision Score
21932
Half Precision Score
25217
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:06 PM |
| Views | 26 |
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% |
1447
269.0 IPS |
|
|
Image Classification (HP)
|
100% |
8826
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
10657
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14011
227.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19326
313.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6635
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
96925
113.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
103271
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.5 IPS |
|
|
Object Detection (HP)
|
100% |
12691
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14746
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
30154
358.3 IPS |
|
|
Face Detection (Q)
|
100% |
38824
461.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6206
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72342
557.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
90500
707.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18577
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
173195
222.6 IPS |
|
|
Style Transfer (Q)
|
96% |
174474
225.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32170
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36215
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (Q)
|
93% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7124
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8018
138.6 IPS |
