iPad15,3
Geekbench AI Score
4159
Single Precision Score
7150
Half Precision Score
5788
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 31 2025 03:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.6 IPS |
|
|
Image Classification (Q)
|
96% |
2044
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3225
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8904
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17522
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15081
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (HP)
|
97% |
3248
258.5 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6819
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3993
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7177
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12864
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9055
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22450
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34507
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28583
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6137
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4462
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5692
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5664
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6784
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6933
119.8 IPS |
