iPad15,7
Geekbench AI Score
3445
Single Precision Score
6086
Half Precision Score
4935
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tameempaknehad |
| Upload Date | April 06 2025 08:37 AM |
| Views | 9 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1751
327.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2611
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6335
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14472
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11937
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
97% |
2878
229.1 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5902
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3390
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5785
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11503
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7841
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17212
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29101
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23804
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3872
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3871
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4814
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4761
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6561
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6598
114.0 IPS |
