iPad15,6
Geekbench AI Score
4137
Single Precision Score
7111
Half Precision Score
5763
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 08:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.3 IPS |
|
|
Image Classification (Q)
|
96% |
2084
389.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3224
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8874
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17605
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15119
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3228
257.0 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6874
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
4003
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7056
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12830
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9080
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22493
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34567
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28586
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6149
227.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4467
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3108
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5251
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5253
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6785
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6963
120.3 IPS |
