iPad15,7
Geekbench AI Score
2988
Single Precision Score
3333
Half Precision Score
2891
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 06:26 PM |
| Views | 4 |
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% |
674
125.3 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.4 IPS |
|
|
Image Classification (Q)
|
96% |
532
99.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2321
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9499
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10314
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9756
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
92% |
734
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
4729
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
5288
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
4304
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7140
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7807
60.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6347
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17547
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19582
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18929
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2892
106.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2555
94.3 IPS |
|
|
Text Classification (SP)
|
100% |
2804
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4707
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4845
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
721
12.5 IPS |
