iPad15,7
Geekbench AI Score
2952
Single Precision Score
3123
Half Precision Score
3036
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
719
133.7 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.4 IPS |
|
|
Image Classification (Q)
|
96% |
880
164.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2376
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9370
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10301
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9807
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1071
84.9 IPS |
|
|
Object Detection (HP)
|
100% |
961
76.2 IPS |
|
|
Object Detection (Q)
|
92% |
823
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
3978
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7636
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8106
62.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5904
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17634
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19702
25.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19152
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2815
104.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2527
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4880
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
713
12.3 IPS |
