iPad15,7
Geekbench AI Score
3569
Single Precision Score
6182
Half Precision Score
5036
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 07:19 AM |
| Views | 1 |
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% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
2551
474.3 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2634
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15139
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13085
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6044
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6005
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11623
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7987
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18898
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29700
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24432
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4102
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3843
141.9 IPS |
|
|
Text Classification (SP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4852
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4783
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6675
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6706
115.9 IPS |
