iPad15,3
Geekbench AI Score
4123
Single Precision Score
31110
Half Precision Score
34914
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
17412
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
20050
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21954
355.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27097
439.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8942
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121437
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
121093
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
18169
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
20821
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39283
466.8 IPS |
|
|
Face Detection (Q)
|
100% |
51045
606.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7153
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97516
751.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
122229
955.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22449
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229385
294.9 IPS |
|
|
Style Transfer (Q)
|
96% |
221516
285.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5243
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46733
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55611
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5390
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5362
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3268
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4550
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4768
82.4 IPS |
