iPad15,7
Geekbench AI Score
2931
Single Precision Score
3392
Half Precision Score
3057
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 20 2025 06:49 PM |
| Views | 5 |
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% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
974
181.2 IPS |
|
|
Image Classification (Q)
|
96% |
722
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2317
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9382
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10308
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9771
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (HP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (Q)
|
92% |
766
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
4964
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
5295
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
4289
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7353
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7785
60.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6684
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17568
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19520
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18890
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2596
95.8 IPS |
|
|
Text Classification (SP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4799
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4851
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
835
14.4 IPS |
