iPad15,7
Geekbench AI Score
3427
Single Precision Score
22203
Half Precision Score
24927
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 05:53 PM |
| Views | 5 |
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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
8774
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
10821
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16296
264.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19196
311.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6359
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
95920
111.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102122
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
12268
973.1 IPS |
|
|
Object Detection (Q)
|
91% |
14524
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
30977
368.1 IPS |
|
|
Face Detection (Q)
|
100% |
39203
465.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5905
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71584
551.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
90860
710.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18513
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
169286
217.6 IPS |
|
|
Style Transfer (Q)
|
96% |
172515
222.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33587
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34980
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1932
2.58 KIPS |
|
|
Text Classification (Q)
|
93% |
1689
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7104
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8282
143.1 IPS |
