iPad15,7
Geekbench AI Score
3536
Single Precision Score
6169
Half Precision Score
5007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 08:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1439
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2627
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6711
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
15070
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12467
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2068
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3454
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6133
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11614
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7987
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18424
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29673
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24442
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4058
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5163
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3874
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4779
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4769
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6668
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6667
115.2 IPS |
