iPad15,7
Geekbench AI Score
3590
Single Precision Score
22924
Half Precision Score
26898
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
9594
1.78 KIPS |
|
|
Image Classification (Q)
|
97% |
11783
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15189
246.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19374
314.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6978
8.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
98719
115.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
103893
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
12820
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14673
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31127
369.9 IPS |
|
|
Face Detection (Q)
|
100% |
39132
465.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6085
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75279
580.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
95299
745.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19129
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
178319
229.2 IPS |
|
|
Style Transfer (Q)
|
96% |
179200
231.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4104
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33213
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36992
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2716
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2777
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7350
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8301
143.4 IPS |
