iPad15,7
Geekbench AI Score
3124
Single Precision Score
3365
Half Precision Score
3154
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 07:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1089
202.5 IPS |
|
|
Image Classification (HP)
|
100% |
1001
186.1 IPS |
|
|
Image Classification (Q)
|
96% |
917
171.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2255
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9588
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10394
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10325
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (HP)
|
100% |
1072
85.1 IPS |
|
|
Object Detection (Q)
|
92% |
982
78.4 IPS |
|
|
Face Detection (SP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
5089
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
4084
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6860
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6694
51.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6125
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17668
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19572
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19095
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2834
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2955
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2711
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4749
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
757
13.1 IPS |
