iPad15,7
Geekbench AI Score
3336
Single Precision Score
5606
Half Precision Score
4695
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 12 2025 05:48 PM |
| Views | 4 |
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 | 3.43 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
2539
472.1 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2626
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6815
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15082
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12796
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
97% |
2926
232.9 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6047
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6082
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11633
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7979
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18749
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28994
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22992
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3472
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3840
141.8 IPS |
|
|
Text Classification (SP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3371
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3561
61.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5188
89.7 IPS |
