iPad15,7
Geekbench AI Score
3438
Single Precision Score
6249
Half Precision Score
5121
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 01:20 PM |
| Views | 5 |
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% |
1346
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2642
491.4 IPS |
|
|
Image Classification (Q)
|
96% |
1820
339.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6447
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
15068
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12789
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
2952
235.0 IPS |
|
|
Object Detection (Q)
|
94% |
2120
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6150
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3519
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5876
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11762
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8183
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18482
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29195
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24273
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3801
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5159
190.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3916
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4737
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4823
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7103
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7121
123.1 IPS |
