iPad14,4
Geekbench AI Score
3447
Single Precision Score
5911
Half Precision Score
5181
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | August 17 2024 07:15 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
2513
467.4 IPS |
|
|
Image Classification (Q)
|
99% |
2497
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2440
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6893
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14924
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12868
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2875
228.9 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6210
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3579
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5726
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11585
89.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
11577
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18884
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28455
36.6 IPS |
|
|
Style Transfer (Q)
|
100% |
28535
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4042
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4783
176.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3543
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3572
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5685
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5735
99.1 IPS |
