iPad15,7
Geekbench AI Score
2970
Single Precision Score
3194
Half Precision Score
2837
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 29 2025 04:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
827
153.7 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.6 IPS |
|
|
Image Classification (Q)
|
96% |
470
87.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2158
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9327
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10384
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9908
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
92% |
717
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
3790
45.0 IPS |
|
|
Face Detection (Q)
|
100% |
4279
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7167
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6530
50.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6583
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17533
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19392
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18902
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2675
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2879
106.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2546
94.0 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4752
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4782
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
724
12.5 IPS |
