iPad15,3
Geekbench AI Score
4091
Single Precision Score
31256
Half Precision Score
35293
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 02:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1585
294.7 IPS |
|
|
Image Classification (HP)
|
100% |
17640
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
21774
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21885
354.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26564
430.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8770
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
121550
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
121005
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
100% |
18241
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20981
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39173
465.5 IPS |
|
|
Face Detection (Q)
|
100% |
51120
607.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7063
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98462
758.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124997
977.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22411
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
228232
293.4 IPS |
|
|
Style Transfer (Q)
|
96% |
221592
286.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47944
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57158
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5390
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5305
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3229
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4571
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4756
82.2 IPS |
