iPad15,7
Geekbench AI Score
3578
Single Precision Score
6185
Half Precision Score
5015
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 05:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1442
268.1 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.2 IPS |
|
|
Image Classification (Q)
|
96% |
1746
326.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2632
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6920
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15302
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12889
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6072
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3482
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6137
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11605
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7993
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18957
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29689
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24497
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4101
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5288
195.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3869
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4593
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4594
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3631
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6756
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6795
117.4 IPS |
