iPad14,4
Geekbench AI Score
3218
Single Precision Score
4749
Half Precision Score
3946
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1513
281.4 IPS |
|
|
Image Classification (HP)
|
100% |
1926
358.2 IPS |
|
|
Image Classification (Q)
|
99% |
1908
355.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1293
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6118
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14430
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12282
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
97% |
2273
181.0 IPS |
|
|
Object Detection (Q)
|
94% |
1732
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4512
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
2894
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5370
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8612
66.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4419
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17380
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26960
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
26906
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3542
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2214
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3134
4.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3126
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2789
48.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4504
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4586
79.2 IPS |
