iPad15,4
Geekbench AI Score
4027
Single Precision Score
7140
Half Precision Score
5789
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 02:55 AM |
| Views | 7 |
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% |
1531
284.6 IPS |
|
|
Image Classification (HP)
|
100% |
2983
554.7 IPS |
|
|
Image Classification (Q)
|
96% |
2097
391.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2954
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3306
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8411
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
17549
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15102
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
97% |
3258
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2379
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
3445
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6943
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4009
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6977
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12818
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9070
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21954
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33835
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28129
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6130
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4476
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6712
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6813
117.7 IPS |
