iPad15,7
Geekbench AI Score
3056
Single Precision Score
3301
Half Precision Score
3142
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 12:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1066
198.2 IPS |
|
|
Image Classification (HP)
|
100% |
985
183.1 IPS |
|
|
Image Classification (Q)
|
96% |
894
167.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2241
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9460
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10398
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10068
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (HP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (Q)
|
92% |
964
77.0 IPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
3799
45.1 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6959
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6361
49.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6602
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17514
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19462
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18929
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2775
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3006
111.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2574
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4870
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4798
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
745
12.9 IPS |
