iPad15,7
Geekbench AI Score
2882
Single Precision Score
2971
Half Precision Score
3059
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | March 29 2025 04:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.43 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
535
99.5 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.2 IPS |
|
|
Image Classification (Q)
|
96% |
875
163.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2220
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9572
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
9798
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1159
91.9 IPS |
|
|
Object Detection (HP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (Q)
|
92% |
858
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
4588
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (Q)
|
100% |
4004
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6734
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6379
49.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6471
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17649
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19509
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18558
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2868
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2945
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2643
97.6 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4812
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4812
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
720
12.5 IPS |
