iPad15,3
Geekbench AI Score
4148
Single Precision Score
7071
Half Precision Score
5734
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 06:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| 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% |
1636
304.3 IPS |
|
|
Image Classification (HP)
|
100% |
2944
547.5 IPS |
|
|
Image Classification (Q)
|
96% |
2098
391.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2965
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3238
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8947
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17540
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15116
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
97% |
3227
256.9 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
6880
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3993
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7180
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12751
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9039
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22539
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34569
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28607
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6132
226.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4479
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5368
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6344
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6366
110.0 IPS |
