iPad14,4
Geekbench AI Score
3452
Single Precision Score
22969
Half Precision Score
24792
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 24 2024 03:05 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
14431
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
14871
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9718
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10901
176.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6877
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
101395
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104662
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
15001
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16836
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32165
382.2 IPS |
|
|
Face Detection (Q)
|
100% |
39504
469.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86911
669.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
106993
836.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18921
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201348
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
186993
241.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39131
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46415
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3568
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2355
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2347
40.6 IPS |
