iPad15,7
Geekbench AI Score
3413
Single Precision Score
6213
Half Precision Score
5083
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:28 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
2664
495.5 IPS |
|
|
Image Classification (Q)
|
96% |
1825
340.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6163
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
14600
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12420
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2923
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2100
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6139
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3508
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5937
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11719
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8125
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18081
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29082
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24095
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3760
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5111
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3907
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4788
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4797
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6997
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7041
121.7 IPS |
