iPad15,3
Geekbench AI Score
4042
Single Precision Score
30991
Half Precision Score
34643
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 05:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1553
288.8 IPS |
|
|
Image Classification (HP)
|
100% |
16253
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
18917
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22321
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27485
445.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8366
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
120735
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
122094
143.1 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
17524
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20354
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
39368
467.8 IPS |
|
|
Face Detection (Q)
|
100% |
51189
608.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7077
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97223
749.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121935
953.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22073
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
229035
294.4 IPS |
|
|
Style Transfer (Q)
|
96% |
219157
282.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48859
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54847
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4688
81.0 IPS |
