iPad14,4
Geekbench AI Score
3453
Single Precision Score
26323
Half Precision Score
29118
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
14705
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
15198
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19378
314.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24045
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6823
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
102864
120.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105447
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
15085
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17154
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32778
389.5 IPS |
|
|
Face Detection (Q)
|
100% |
41437
492.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5638
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85275
657.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
105294
822.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18651
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201634
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189901
245.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38887
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46413
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4446
76.8 IPS |
