iPad15,7
Geekbench AI Score
3557
Single Precision Score
6219
Half Precision Score
5095
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 02:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1454
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
2650
492.8 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2656
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6442
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
14531
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12440
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2938
233.9 IPS |
|
|
Object Detection (Q)
|
94% |
2099
167.3 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6113
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3499
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6047
46.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11707
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8113
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18075
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29497
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24514
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4016
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5105
188.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3921
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4847
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7043
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7099
122.7 IPS |
