iPad14,4
Geekbench AI Score
6944
Single Precision Score
7749
Half Precision Score
5785
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | August 17 2024 07:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3684
685.2 IPS |
|
|
Image Classification (HP)
|
100% |
3565
663.0 IPS |
|
|
Image Classification (Q)
|
99% |
3261
608.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4056
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5019
81.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4921
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24716
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26288
30.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
23653
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (HP)
|
100% |
3685
292.3 IPS |
|
|
Object Detection (Q)
|
91% |
2847
227.5 IPS |
|
|
Face Detection (SP)
|
100% |
10324
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
11846
140.8 IPS |
|
|
Face Detection (Q)
|
100% |
8106
96.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16725
128.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17778
137.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
2790
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42224
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48582
62.5 IPS |
|
|
Style Transfer (Q)
|
100% |
48388
62.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9807
362.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10090
372.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7474
276.9 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3630
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1311
22.7 IPS |
