iPad15,7
Geekbench AI Score
3417
Single Precision Score
6226
Half Precision Score
5107
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 11 2025 03:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2638
490.5 IPS |
|
|
Image Classification (Q)
|
96% |
1814
338.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6317
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14846
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12669
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (HP)
|
97% |
2945
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2109
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6233
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5867
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11660
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8139
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18274
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29095
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24265
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5107
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3921
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4745
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4792
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7029
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7078
122.3 IPS |
