iPad14,4
Geekbench AI Score
3468
Single Precision Score
5980
Half Precision Score
4845
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | October 31 2024 10:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.4 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2832
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6887
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14820
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12729
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2881
229.4 IPS |
|
|
Object Detection (Q)
|
94% |
2082
165.9 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6199
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3578
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11626
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8007
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18894
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28550
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23705
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4958
183.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3637
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3776
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3785
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5697
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5771
99.7 IPS |
