iPad15,4
Geekbench AI Score
4181
Single Precision Score
30789
Half Precision Score
34386
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 08 2025 03:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1599
297.3 IPS |
|
|
Image Classification (HP)
|
100% |
17259
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
19556
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21281
345.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25594
414.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8986
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122891
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
121570
142.5 IPS |
|
|
Object Detection (SP)
|
100% |
1863
147.7 IPS |
|
|
Object Detection (HP)
|
100% |
18070
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20329
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
38381
456.0 IPS |
|
|
Face Detection (Q)
|
100% |
49391
586.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7177
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98126
756.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
122942
961.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22680
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
228397
293.6 IPS |
|
|
Style Transfer (Q)
|
96% |
221177
285.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5330
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47972
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55530
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5131
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5229
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4434
76.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4791
82.8 IPS |
