iPad15,7
Geekbench AI Score
3531
Single Precision Score
6179
Half Precision Score
5013
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 01 2025 04:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.7 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2622
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6706
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
14881
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12708
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2922
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6039
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3469
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6087
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11600
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8019
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18489
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29630
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24441
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5145
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3845
142.0 IPS |
|
|
Text Classification (SP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4853
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4745
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6731
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6721
116.1 IPS |
