iPad15,7
Geekbench AI Score
3006
Single Precision Score
3185
Half Precision Score
3133
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 12:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
877
163.1 IPS |
|
|
Image Classification (HP)
|
100% |
943
175.4 IPS |
|
|
Image Classification (Q)
|
96% |
876
163.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2181
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9542
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10334
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10010
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1098
87.1 IPS |
|
|
Object Detection (HP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (Q)
|
92% |
1040
83.0 IPS |
|
|
Face Detection (SP)
|
100% |
4531
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
3606
42.8 IPS |
|
|
Face Detection (Q)
|
100% |
3421
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6690
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6331
48.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6620
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17697
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19711
25.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18797
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2893
106.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2970
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2677
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4819
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4787
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
841
14.5 IPS |
