iPad15,7
Geekbench AI Score
2794
Single Precision Score
3314
Half Precision Score
3016
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 03:05 AM |
| 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 | 3.45 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
96.9 IPS |
|
|
Image Classification (HP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (Q)
|
96% |
902
168.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2313
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9350
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10323
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9726
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
998
79.1 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.1 IPS |
|
|
Object Detection (Q)
|
92% |
668
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
4325
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7627
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8028
61.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6184
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17571
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19537
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18909
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2713
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2861
105.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2477
91.5 IPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4840
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
759
13.1 IPS |
