iPad15,7
Geekbench AI Score
3600
Single Precision Score
6266
Half Precision Score
5123
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 20 2025 06:47 PM |
| Views | 4 |
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% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
2617
486.6 IPS |
|
|
Image Classification (Q)
|
96% |
1806
337.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6702
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
14983
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12781
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2940
234.1 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3319
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6181
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3518
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6168
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11736
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8165
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18548
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29845
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24756
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5153
190.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3940
145.5 IPS |
|
|
Text Classification (SP)
|
100% |
2839
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
4784
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4795
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7199
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7114
122.9 IPS |
