iPad15,7
Geekbench AI Score
2869
Single Precision Score
3208
Half Precision Score
2871
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 05:28 PM |
| Views | 5 |
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% |
525
97.7 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.4 IPS |
|
|
Image Classification (Q)
|
96% |
473
88.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2242
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9431
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10285
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9674
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1043
82.8 IPS |
|
|
Object Detection (HP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (Q)
|
92% |
785
62.7 IPS |
|
|
Face Detection (SP)
|
100% |
3615
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
4982
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
3992
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7545
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8012
61.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6119
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17669
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19544
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18893
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2909
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2879
106.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2505
92.5 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4820
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4910
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
834
14.4 IPS |
