iPad15,3
Geekbench AI Score
4034
Single Precision Score
30891
Half Precision Score
34878
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 04:28 PM |
| Views | 2 |
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% |
1531
284.7 IPS |
|
|
Image Classification (HP)
|
100% |
16321
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
19699
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21997
356.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27434
444.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8386
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
121615
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121062
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
17720
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20385
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3528
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
39383
468.0 IPS |
|
|
Face Detection (Q)
|
100% |
51854
616.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7095
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96892
746.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
121366
948.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22062
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
228994
294.4 IPS |
|
|
Style Transfer (Q)
|
96% |
221203
285.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5005
184.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47527
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55555
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3163
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5458
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5528
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4673
80.8 IPS |
