iPad15,4
Geekbench AI Score
4049
Single Precision Score
30850
Half Precision Score
34447
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shakal00 |
| Upload Date | September 23 2025 05:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| 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% |
1510
280.9 IPS |
|
|
Image Classification (HP)
|
100% |
16328
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18748
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22256
360.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26867
435.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8312
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
120846
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121031
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
17770
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20263
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
38466
457.1 IPS |
|
|
Face Detection (Q)
|
100% |
51386
610.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7068
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97092
748.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121523
950.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22019
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
228981
294.4 IPS |
|
|
Style Transfer (Q)
|
96% |
220035
283.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47321
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54064
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5480
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4512
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4698
81.2 IPS |
