iPad14,10
Geekbench AI Score
3206
Single Precision Score
4777
Half Precision Score
4101
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,10 |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1508
280.4 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.0 IPS |
|
|
Image Classification (Q)
|
96% |
1437
268.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1829
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6088
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
14472
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12533
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2259
179.8 IPS |
|
|
Object Detection (Q)
|
94% |
1735
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4472
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2911
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5377
41.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8611
66.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6497
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17327
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27022
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22568
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3599
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (Q)
|
93% |
3399
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4527
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4516
78.0 IPS |
