iPad15,7
Geekbench AI Score
3580
Single Precision Score
6249
Half Precision Score
5117
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 07:32 PM |
| Views | 7 |
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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2626
488.4 IPS |
|
|
Image Classification (Q)
|
96% |
1814
338.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6657
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
14997
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12624
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2947
234.6 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6134
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3522
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6178
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11762
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8148
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18544
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29762
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24717
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3911
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4788
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4797
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7089
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7139
123.4 IPS |
