iPad15,7
Geekbench AI Score
3431
Single Precision Score
6322
Half Precision Score
5128
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
2663
495.3 IPS |
|
|
Image Classification (Q)
|
96% |
1815
339.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6495
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
15199
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12964
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (HP)
|
97% |
2940
234.1 IPS |
|
|
Object Detection (Q)
|
94% |
2130
169.8 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6233
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3547
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5888
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11707
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8138
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18393
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29390
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24472
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3845
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5480
202.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3952
145.9 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4899
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4777
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7038
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7023
121.4 IPS |
