iPad16,3
Geekbench AI Score
8917
Single Precision Score
10613
Half Precision Score
9330
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 07:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4461
829.5 IPS |
|
|
Image Classification (HP)
|
100% |
4787
890.2 IPS |
|
|
Image Classification (Q)
|
97% |
4127
770.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4939
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6740
109.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7174
116.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28257
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30055
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28663
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4760
377.5 IPS |
|
|
Object Detection (HP)
|
100% |
5204
412.8 IPS |
|
|
Object Detection (Q)
|
91% |
4438
354.6 IPS |
|
|
Face Detection (SP)
|
100% |
12905
153.3 IPS |
|
|
Face Detection (HP)
|
100% |
16400
194.9 IPS |
|
|
Face Detection (Q)
|
100% |
11998
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20429
157.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22371
172.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19041
148.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58280
74.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67812
87.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63879
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11711
432.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12663
467.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10295
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5357
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1649
28.5 IPS |
