iPad15,7
Geekbench AI Score
2840
Single Precision Score
3205
Half Precision Score
2797
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 12:31 PM |
| Views | 6 |
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% |
528
98.1 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (Q)
|
96% |
571
106.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2322
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9415
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10336
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9702
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (Q)
|
92% |
769
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
4929
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
3896
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7614
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8058
62.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6558
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17504
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19546
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18904
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2693
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2945
108.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1463
54.0 IPS |
|
|
Text Classification (SP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4828
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4826
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
870
15.0 IPS |
