iPad15,4
Geekbench AI Score
4055
Single Precision Score
7164
Half Precision Score
5802
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shakal00 |
| Upload Date | September 23 2025 05:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1543
286.9 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.1 IPS |
|
|
Image Classification (Q)
|
96% |
2091
390.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2973
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3314
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8381
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17513
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15100
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
3292
262.1 IPS |
|
|
Object Detection (Q)
|
94% |
2393
190.8 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
4013
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7073
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12888
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9158
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21993
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33908
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28162
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4469
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5599
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6775
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6761
116.8 IPS |
