iPad15,7
Geekbench AI Score
3603
Single Precision Score
6323
Half Precision Score
5129
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:28 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.6 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6763
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
15109
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12760
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2955
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3355
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6156
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11896
92.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8253
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18439
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30105
38.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24842
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5132
189.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3943
145.6 IPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4836
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4726
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7475
129.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7161
123.7 IPS |
