iPad14,4
Geekbench AI Score
6357
Single Precision Score
7195
Half Precision Score
6420
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 271belair |
| Upload Date | February 24 2025 02:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3628
674.7 IPS |
|
|
Image Classification (HP)
|
100% |
3632
675.5 IPS |
|
|
Image Classification (Q)
|
97% |
2949
550.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4062
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5014
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5076
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24708
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26311
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24530
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3175
251.8 IPS |
|
|
Object Detection (HP)
|
100% |
3583
284.2 IPS |
|
|
Object Detection (Q)
|
91% |
3049
243.6 IPS |
|
|
Face Detection (SP)
|
100% |
10398
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
11942
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
8422
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16770
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17846
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14856
116.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42782
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48585
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45478
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9794
361.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10111
373.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7984
294.8 IPS |
|
|
Text Classification (SP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3697
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (Q)
|
98% |
633
10.9 IPS |
