iPad15,7
Geekbench AI Score
2752
Single Precision Score
3294
Half Precision Score
2864
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 01:45 AM |
| Views | 6 |
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% |
647
120.3 IPS |
|
|
Image Classification (HP)
|
100% |
812
150.9 IPS |
|
|
Image Classification (Q)
|
96% |
707
132.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2217
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9522
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10359
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9944
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
820
65.0 IPS |
|
|
Object Detection (HP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (Q)
|
92% |
905
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
3337
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
4851
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
4348
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7232
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7813
60.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6362
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17494
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19413
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18831
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2714
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1435
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4860
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
725
12.5 IPS |
