iPad15,7
Geekbench AI Score
3385
Single Precision Score
6229
Half Precision Score
5071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 03:15 AM |
| Views | 7 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2619
487.1 IPS |
|
|
Image Classification (Q)
|
96% |
1825
340.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2662
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6088
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
14612
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12330
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
97% |
2941
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2110
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6154
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3529
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5805
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11621
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8207
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17758
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29025
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24012
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5172
191.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3883
143.4 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4737
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4691
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7313
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7023
121.4 IPS |
