iPad15,3
Geekbench AI Score
4043
Single Precision Score
30029
Half Precision Score
33152
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | October 01 2025 03:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
16510
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
17774
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22278
361.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27480
445.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8425
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
120975
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120084
140.7 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
17125
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19207
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
39432
468.5 IPS |
|
|
Face Detection (Q)
|
100% |
51486
611.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7058
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
90629
698.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111975
875.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22007
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
221505
284.7 IPS |
|
|
Style Transfer (Q)
|
96% |
215028
277.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39957
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45124
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5707
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5565
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3305
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4335
74.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4574
79.1 IPS |
