iPad15,7
Geekbench AI Score
2887
Single Precision Score
3236
Half Precision Score
3032
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:28 AM |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
521
96.8 IPS |
|
|
Image Classification (HP)
|
100% |
874
162.5 IPS |
|
|
Image Classification (Q)
|
96% |
841
157.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2286
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9467
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10223
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9739
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (HP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (Q)
|
92% |
777
62.0 IPS |
|
|
Face Detection (SP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (Q)
|
100% |
4313
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7220
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7728
59.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6060
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17544
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19458
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18952
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2806
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2890
106.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2531
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4886
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4774
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
755
13.0 IPS |
