iPad15,3
Geekbench AI Score
4029
Single Precision Score
7150
Half Precision Score
5787
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 01:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| 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% |
1526
283.8 IPS |
|
|
Image Classification (HP)
|
100% |
2991
556.3 IPS |
|
|
Image Classification (Q)
|
96% |
2096
391.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8423
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17559
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15122
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (HP)
|
97% |
3275
260.7 IPS |
|
|
Object Detection (Q)
|
94% |
2388
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
3469
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6906
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
4009
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6985
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12822
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9059
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22022
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33916
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28151
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4476
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
3163
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5470
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6833
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6762
116.9 IPS |
