iPad15,7
Geekbench AI Score
2945
Single Precision Score
3145
Half Precision Score
3100
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 01:31 AM |
| Views | 4 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
551
102.4 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.8 IPS |
|
|
Image Classification (Q)
|
96% |
875
163.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2300
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9411
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10361
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9796
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (HP)
|
100% |
897
71.1 IPS |
|
|
Object Detection (Q)
|
92% |
890
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
4937
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
5022
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
4093
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7243
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7775
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6518
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17558
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19575
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18916
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2558
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
2807
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4885
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4805
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
754
13.0 IPS |
