iPad14,8
Geekbench AI Score
3225
Single Precision Score
4814
Half Precision Score
4000
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | hlovatt |
| Upload Date | August 17 2024 08:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (Q)
|
99% |
1919
357.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1307
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6111
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14568
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12352
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2271
180.8 IPS |
|
|
Object Detection (Q)
|
94% |
1756
140.0 IPS |
|
|
Face Detection (SP)
|
100% |
2892
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4512
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
2886
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5363
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8638
66.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4389
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17359
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26956
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
26978
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4751
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3556
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3493
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2853
49.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4529
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4552
78.7 IPS |
