iPad15,6
Geekbench AI Score
4134
Single Precision Score
7071
Half Precision Score
5710
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Degeho |
| Upload Date | September 12 2025 06:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad15,6 |
| Model ID | iPad15,6 |
| Motherboard | J638AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1622
301.6 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.0 IPS |
|
|
Image Classification (Q)
|
96% |
2092
390.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3228
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8982
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17503
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15083
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3232
257.3 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6847
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3982
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12861
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9017
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22275
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34497
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28598
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4472
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5355
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5318
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6357
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6345
109.6 IPS |
