iPad15,7
Geekbench AI Score
3590
Single Precision Score
6260
Half Precision Score
5135
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 08 2025 03:06 AM |
| Views | 5 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.4 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.8 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6613
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
14816
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13003
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2929
233.2 IPS |
|
|
Object Detection (Q)
|
94% |
2120
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6192
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3513
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6155
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11713
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8134
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18267
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29827
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24692
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5137
189.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3898
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4817
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7166
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7170
123.9 IPS |
