iPad14,8
Geekbench AI Score
3213
Single Precision Score
4810
Half Precision Score
4113
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
1913
355.8 IPS |
|
|
Image Classification (Q)
|
96% |
1440
268.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1834
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6124
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14430
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12414
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2294
182.6 IPS |
|
|
Object Detection (Q)
|
94% |
1739
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4471
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2892
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5396
41.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
8618
66.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6499
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17357
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27053
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22593
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3630
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3590
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3561
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2749
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4540
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4487
77.5 IPS |
