iPad14,4
Geekbench AI Score
7008
Single Precision Score
7823
Half Precision Score
6852
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | September 26 2024 05:59 AM |
| Views | 1 |
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% |
3627
674.6 IPS |
|
|
Image Classification (HP)
|
100% |
3604
670.3 IPS |
|
|
Image Classification (Q)
|
97% |
2963
552.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4065
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5020
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5094
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24696
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26309
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24523
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3696
293.1 IPS |
|
|
Object Detection (HP)
|
100% |
3701
293.5 IPS |
|
|
Object Detection (Q)
|
91% |
3043
243.1 IPS |
|
|
Face Detection (SP)
|
100% |
10405
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
11921
141.7 IPS |
|
|
Face Detection (Q)
|
100% |
8278
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16756
129.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17790
137.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14621
114.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42972
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48622
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45433
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9796
361.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10194
376.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7973
294.4 IPS |
|
|
Text Classification (SP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3636
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3646
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1268
21.9 IPS |
