iPad15,7
Geekbench AI Score
2885
Single Precision Score
3187
Half Precision Score
3071
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 03 2025 11:46 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
835
155.4 IPS |
|
|
Image Classification (HP)
|
100% |
597
111.0 IPS |
|
|
Image Classification (Q)
|
96% |
713
133.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2235
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9405
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10295
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9851
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
950
75.4 IPS |
|
|
Object Detection (HP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (Q)
|
92% |
869
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
3664
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
4985
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
4313
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7178
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7701
59.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6603
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17422
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19444
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18843
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2891
106.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2580
95.3 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4788
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
830
14.3 IPS |
