iPad15,7
Geekbench AI Score
2911
Single Precision Score
3074
Half Precision Score
3075
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 07:10 PM |
| Views | 3 |
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 | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.5 IPS |
|
|
Image Classification (Q)
|
96% |
886
165.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2201
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9447
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10353
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9734
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (HP)
|
100% |
878
69.6 IPS |
|
|
Object Detection (Q)
|
92% |
794
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
4990
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (Q)
|
100% |
4300
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7214
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7775
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6658
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17540
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19524
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19010
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2757
101.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2571
94.9 IPS |
|
|
Text Classification (SP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4866
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
752
13.0 IPS |
