iPad15,7
Geekbench AI Score
3026
Single Precision Score
3355
Half Precision Score
3050
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 02:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
728
135.5 IPS |
|
|
Image Classification (HP)
|
100% |
862
160.2 IPS |
|
|
Image Classification (Q)
|
96% |
869
162.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2298
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9346
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10302
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9760
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (HP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (Q)
|
92% |
706
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
4912
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
4293
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7652
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8001
61.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6819
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17620
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19693
25.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19017
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2725
100.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2855
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2531
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
2831
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4768
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4799
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
751
13.0 IPS |
