iPad14,4
Geekbench AI Score
6257
Single Precision Score
6460
Half Precision Score
5943
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3557
661.4 IPS |
|
|
Image Classification (HP)
|
100% |
3428
637.5 IPS |
|
|
Image Classification (Q)
|
99% |
3096
577.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3978
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
4784
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24545
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26171
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23569
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
3555
282.0 IPS |
|
|
Object Detection (HP)
|
100% |
3688
292.6 IPS |
|
|
Object Detection (Q)
|
92% |
2744
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
9768
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
11267
133.9 IPS |
|
|
Face Detection (Q)
|
100% |
7726
91.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16599
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17713
136.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
17461
135.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42206
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48317
62.1 IPS |
|
|
Style Transfer (Q)
|
100% |
48151
61.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9477
349.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10228
377.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7751
287.2 IPS |
|
|
Text Classification (SP)
|
100% |
1191
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1430
24.7 IPS |
