iPad14,8
Geekbench AI Score
3199
Single Precision Score
4789
Half Precision Score
4104
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.5 IPS |
|
|
Image Classification (HP)
|
100% |
1923
357.6 IPS |
|
|
Image Classification (Q)
|
96% |
1427
266.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1829
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6103
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14483
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12454
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2265
180.4 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
2874
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4458
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
2887
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5352
41.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8584
66.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6514
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17281
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26876
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22536
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3622
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4779
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3570
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3530
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4479
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4530
78.3 IPS |
