iPad15,7
Geekbench AI Score
2945
Single Precision Score
3068
Half Precision Score
2994
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
530
98.6 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.3 IPS |
|
|
Image Classification (Q)
|
94% |
856
160.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2350
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9230
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10236
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9604
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1071
85.0 IPS |
|
|
Object Detection (HP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (Q)
|
90% |
755
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
5239
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
4092
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7564
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7995
61.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6313
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17449
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19388
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18993
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2615
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2818
104.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2523
93.2 IPS |
|
|
Text Classification (SP)
|
100% |
2726
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
4663
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4548
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
706
12.2 IPS |
