iPad15,7
Geekbench AI Score
2789
Single Precision Score
3197
Half Precision Score
2878
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:52 PM |
| Views | 8 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
512
95.2 IPS |
|
|
Image Classification (HP)
|
100% |
638
118.6 IPS |
|
|
Image Classification (Q)
|
96% |
475
88.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2293
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9370
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10329
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9681
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1004
79.7 IPS |
|
|
Object Detection (HP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (Q)
|
92% |
771
61.5 IPS |
|
|
Face Detection (SP)
|
100% |
3683
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
4990
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
4324
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7231
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6678
51.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6337
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17590
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19549
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18899
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2775
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2813
103.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2560
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4761
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4760
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
761
13.2 IPS |
