iPad15,4
Geekbench AI Score
4020
Single Precision Score
7166
Half Precision Score
5775
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 02:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1539
286.2 IPS |
|
|
Image Classification (HP)
|
100% |
3000
558.0 IPS |
|
|
Image Classification (Q)
|
96% |
2095
391.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2964
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3250
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8341
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
17535
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15100
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.0 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6893
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
3998
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6978
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12779
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9045
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21986
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33886
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28170
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4474
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6974
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6807
117.6 IPS |
