iPad15,3
Geekbench AI Score
4163
Single Precision Score
27640
Half Precision Score
32236
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 15 2025 02:50 PM |
| Views | 10 |
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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
14599
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
16950
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21843
354.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27270
442.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8920
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
115286
134.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
116205
136.2 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
14997
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16666
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3529
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
39386
468.0 IPS |
|
|
Face Detection (Q)
|
100% |
51382
610.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7173
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
66619
513.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
114151
892.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22420
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
215103
276.5 IPS |
|
|
Style Transfer (Q)
|
96% |
199820
257.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5216
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34585
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46409
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5490
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5528
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4502
77.8 IPS |
