iPad15,3
Geekbench AI Score
4131
Single Precision Score
7090
Half Precision Score
5716
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Wilson53838 |
| Upload Date | October 02 2025 12:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1599
297.4 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
96% |
2054
383.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3229
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8990
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17552
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15124
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (HP)
|
97% |
3230
257.2 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6870
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3998
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7168
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12829
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9015
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22379
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34578
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28607
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4472
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5401
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6460
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6431
111.1 IPS |
