iPad15,7
Geekbench AI Score
3598
Single Precision Score
6263
Half Precision Score
5126
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 06:23 PM |
| Views | 6 |
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% |
1453
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
2634
489.9 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6724
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
15083
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12731
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2931
233.3 IPS |
|
|
Object Detection (Q)
|
94% |
2110
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3353
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6183
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3524
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6142
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11721
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8187
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18531
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29724
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24714
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4000
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3911
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2806
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4774
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4776
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7124
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7210
124.6 IPS |
