iPad15,4
Geekbench AI Score
4131
Single Precision Score
31209
Half Precision Score
34772
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 04:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1615
300.3 IPS |
|
|
Image Classification (HP)
|
100% |
17512
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
19899
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21630
350.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26646
432.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8937
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120959
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120786
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
18523
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20808
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
39235
466.2 IPS |
|
|
Face Detection (Q)
|
100% |
51078
606.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7142
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97777
753.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
122503
957.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22451
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
227700
292.7 IPS |
|
|
Style Transfer (Q)
|
96% |
220142
284.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48721
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55845
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5331
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5292
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4553
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4764
82.3 IPS |
