iPad15,7
Geekbench AI Score
3550
Single Precision Score
6171
Half Precision Score
5020
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 03 2025 03:08 AM |
| Views | 5 |
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% |
1438
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
2539
472.2 IPS |
|
|
Image Classification (Q)
|
96% |
1742
325.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2622
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6707
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
14990
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12672
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2916
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6039
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5990
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11597
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8005
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18678
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29687
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24460
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4021
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5152
190.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3894
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6712
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6752
116.7 IPS |
