iPad15,7
Geekbench AI Score
3569
Single Precision Score
22473
Half Precision Score
25638
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | March 18 2025 11:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
9808
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
11951
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13969
226.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18311
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
95290
111.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102985
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
12659
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14565
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
30557
363.1 IPS |
|
|
Face Detection (Q)
|
100% |
39562
470.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6228
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74869
576.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
97044
758.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19102
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
173628
223.2 IPS |
|
|
Style Transfer (Q)
|
96% |
174348
225.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4196
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32933
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37540
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (Q)
|
93% |
1816
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7627
131.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8194
141.6 IPS |
